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#graphlearning zoekresultaten

RoyShubhajit's profile picture. PhD Scholar at IIT Gandhinagar
Shubhajit Roy
 @RoyShubhajit
23 sep.

🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch

RoyShubhajit's tweet image. 🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch
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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
4 okt.

Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…

jure's tweet image. Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
12 nov.

Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey

fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
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NITheCS's profile picture. National Institute for Theoretical and Computational Sciences
NITheCS
 @NITheCS
15 mei

NITheCS & CoRE AI Masterclass: 'An Introduction to Graph Learning & Signal Processing' 🎓 With Dr Fei He & Stephan Goerttler (Coventry University) 🗓️ Tue, 27 May 2025 🕚 11:00–13:00 SAST 🔗 buff.ly/6nfB5ui #GraphLearning #SignalProcessing #AI #CoREAI #MachineLearning

NITheCS's tweet image. NITheCS & CoRE AI Masterclass: 'An Introduction to Graph Learning & Signal Processing' 🎓 With Dr Fei He & Stephan Goerttler (Coventry University) 🗓️ Tue, 27 May 2025 🕚 11:00–13:00 SAST 🔗 buff.ly/6nfB5ui #GraphLearning #SignalProcessing #AI #CoREAI #MachineLearning
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felicsly's profile picture. Associate Professor at Hiroshima University 🇯🇵
Felix Lou
 @felicsly
14 okt.

📢 New paper: Robustness Potential Explorer (RPE) A 3-part framework to visualize & predict network robustness. ✅ Outperforms CNN/GNN methods 🔍 RPE-F | RPE-V | RPE-P #AI #NetworkRobustness #GraphLearning (content generated by Copilot) ieeexplore.ieee.org/abstract/docum…

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MikelEcheve's profile picture. 🚀 Full-Stack & AI Dev — GPT/ML Automation 🇪🇸 → 🇨🇭 Relocate | 📬 DM open | Weekly #AI threads 🔗
Mikel
 @MikelEcheve
5 aug.

🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning

MikelEcheve's tweet image. 🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning
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TuplesAI's profile picture. Building #trustworthyAI with scalable, transparent and safe algorithmic solutions for Planning & & Scheduling. EU funded project: grant agreement No 101070149
TUPLES Trustworthy AI
 @TuplesAI
20 aug.

At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk

TuplesAI's tweet image. At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk
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danilo_danese's profile picture. Exploring High Dimensional Low Sample Size data
Danilo Danese
 @danilo_danese
16 okt. 2024

@scne just presented their latest work at @ACMRecSys #GraphLearning session. This work, co-authored by @dmalitesta @alberto_mancino @walteranelli @TommasoDiNoia Explores the relationship between topological datasets characteristics and GNN based recommender systems.

danilo_danese's tweet image. @scne just presented their latest work at @ACMRecSys #GraphLearning session. This work, co-authored by @dmalitesta @alberto_mancino @walteranelli @TommasoDiNoia Explores the relationship between topological datasets characteristics and GNN based recommender systems.
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LBRCE1's profile picture. LBRCE is an Autonomous Institution. This is an Official Twitter Handle of LBRCE, managed by Information Cell. Note: RTs (Retweets) are not endorsements.
LBRCE (AUTONOMOUS)
 @LBRCE1
21 dec. 2023

Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.

LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
12 jan. 2024

Get news and updates from Kumo AI. We're bringing the most powerful #GraphLearning approaches, proven in research, to the enterprise. hubs.ly/Q02g3LXK0

Kumo_ai_team's tweet image. Get news and updates from Kumo AI. We're bringing the most powerful #GraphLearning approaches, proven in research, to the enterprise. hubs.ly/Q02g3LXK0
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YinglongXia's profile picture. Meta AI, ex-Futurewei, ex-IBM Research; Graph learning, user understanding, recommendation system, high performance computing
Yinglong Xia
 @YinglongXia
24 okt. 2023

Excited to participate in the industry panel in the #stanford #GraphLearning workshop, sharing tho. Graph ML remains an exciting topic in many industrial segments, with new opportunities rising up thru #GenAI.

YinglongXia's tweet image. Excited to participate in the industry panel in the #stanford #GraphLearning workshop, sharing tho. Graph ML remains an exciting topic in many industrial segments, with new opportunities rising up thru #GenAI.
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paippb's profile picture. Director, Nakhon Ratchasima Office of Lifelong Learning (NRLL) @NRRU_official 👨‍🏫 | ML and graph-based learning | Adjn. Prof. @CMKLUniversity @KMUTT
Pai Buabthong
 @paippb
13 sep. 2024

Lastly, if you're interested in AI for science and graph-based learning in scientific applications, follow for more updates! #AIforScience #GraphLearning

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theaipie's profile picture. Follow me to stay up to date with AI news, updates and tips.
The AI Pie
 @theaipie
14 jul.

GDGB: The first benchmark for generative dynamic text-attributed graph learning, offering a foundation for advancing research in DyTAG generation. #AI #GraphLearning

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mddan22's profile picture.
Daniel Walke
 @mddan22
11 jul. 2023

In short: We introduced several #graphdatabases (e.g., Neo4j) and #graphLearning algorithms (e.g., Graph Neural Networks) and analyzed their advantages and disadvantages.

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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
7 jul. 2023

A really good webinar on how effective #GraphLearning can be for your customer growth initiatives: #LTV #Churn #CustomerRetention hubs.ly/Q01X21pB0

jure's tweet image. A really good webinar on how effective #GraphLearning can be for your customer growth initiatives: #LTV #Churn #CustomerRetention hubs.ly/Q01X21pB0
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igashov's profile picture. PhD student at LPDI, EPFL 🇨🇭 Artificial Intelligence & Structural Biology
Ilia Igashov
 @igashov
4 mrt. 2024

Hi #GraphLearning folks! I am looking for a node-level autoencoder for molecular graphs. With a possibly simple decoder like in VGAEs (Kipf & Welling, 2016). I guess there should be something widely used for molecules but I am struggling to find a good reference. Any ideas?

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EdwardJian2's profile picture. CS PhD student @UWCheritonCS. Prev @ServiceNowRSRCH. A big fan of @ManCity. Working on multimodal learning, VLM/LLM agents and data management.
Xiangru (Edward) Jian
@EdwardJian2
24 feb.

We invite you to read our full TMLR paper (Feb 2025) 👉 [openreview.net/forum?id=HjpD5…] and join the discussion on how these insights could reshape the design of self-supervised learning frameworks in graph data! #GraphLearning #SSL #ContrastiveLearning

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gastronomy's profile picture. addict to vibe coding and experimenting with various LLMs.
Tanat Tonguthaisri
@gastronomy
15 mei 2024

Check out the latest survey on Large Language Models for Graphs! Explore the integration of LLMs with graph learning techniques, analyzing design frameworks and potential research avenues. Access the full article at bit.ly/3QMvdH5. #graphlearning #largelanguagemodels

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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
12 nov.

Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey

fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
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felicsly's profile picture. Associate Professor at Hiroshima University 🇯🇵
Felix Lou
 @felicsly
14 okt.

📢 New paper: Robustness Potential Explorer (RPE) A 3-part framework to visualize & predict network robustness. ✅ Outperforms CNN/GNN methods 🔍 RPE-F | RPE-V | RPE-P #AI #NetworkRobustness #GraphLearning (content generated by Copilot) ieeexplore.ieee.org/abstract/docum…

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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
4 okt.

Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…

jure's tweet image. Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…
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RoyShubhajit's profile picture. PhD Scholar at IIT Gandhinagar
Shubhajit Roy
 @RoyShubhajit
23 sep.

🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch

RoyShubhajit's tweet image. 🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch
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TuplesAI's profile picture. Building #trustworthyAI with scalable, transparent and safe algorithmic solutions for Planning & & Scheduling. EU funded project: grant agreement No 101070149
TUPLES Trustworthy AI
 @TuplesAI
20 aug.

At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk

TuplesAI's tweet image. At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk
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MikelEcheve's profile picture. 🚀 Full-Stack & AI Dev — GPT/ML Automation 🇪🇸 → 🇨🇭 Relocate | 📬 DM open | Weekly #AI threads 🔗
Mikel
 @MikelEcheve
5 aug.

🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning

MikelEcheve's tweet image. 🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning
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AI_HybridBeasts's profile picture. Hey there, welcome to AI Hybrid Beasts! Here, we mix art, nature, and a dash of tech to create one-of-a-kind, awe-inspiring creatures 🐅🌿.
AI Hybrid Beasts
 @AI_HybridBeasts
27 jul.

AIHybets builds a live, evolving Semantic Graph— Each node = a signal, insight, term, or prompt. You don’t interact with the graph. You become part of it. #SemanticAI #GraphLearning

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theaipie's profile picture. Follow me to stay up to date with AI news, updates and tips.
The AI Pie
 @theaipie
14 jul.

GDGB: The first benchmark for generative dynamic text-attributed graph learning, offering a foundation for advancing research in DyTAG generation. #AI #GraphLearning

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BDCC_MDPI's profile picture. Big Data and Cognitive Computing (ISSN 2504-2289) is an #openaccess journal of #bigdata #AI #cognitivecomputing, indexed in #Scopus, #ESCI, and #Ei Compendex.
BigDataCogn.Comput.
 @BDCC_MDPI
29 mei

#CallforPaper 💫 Advances in Graph Learning and Representation Models for Complex Network Analysis This SI aims to bring together leading-edge research that explores the design, implementation, and application of #GraphLearning and #RepresentationModel. mdpi.com/journal/BDCC/s…

BDCC_MDPI's tweet image. #CallforPaper 💫 Advances in Graph Learning and Representation Models for Complex Network Analysis This SI aims to bring together leading-edge research that explores the design, implementation, and application of #GraphLearning and #RepresentationModel. mdpi.com/journal/BDCC/s…
BDCC_MDPI's tweet image. #CallforPaper 💫 Advances in Graph Learning and Representation Models for Complex Network Analysis This SI aims to bring together leading-edge research that explores the design, implementation, and application of #GraphLearning and #RepresentationModel. mdpi.com/journal/BDCC/s…
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NITheCS's profile picture. National Institute for Theoretical and Computational Sciences
NITheCS
 @NITheCS
15 mei

NITheCS & CoRE AI Masterclass: 'An Introduction to Graph Learning & Signal Processing' 🎓 With Dr Fei He & Stephan Goerttler (Coventry University) 🗓️ Tue, 27 May 2025 🕚 11:00–13:00 SAST 🔗 buff.ly/6nfB5ui #GraphLearning #SignalProcessing #AI #CoREAI #MachineLearning

NITheCS's tweet image. NITheCS & CoRE AI Masterclass: 'An Introduction to Graph Learning & Signal Processing' 🎓 With Dr Fei He & Stephan Goerttler (Coventry University) 🗓️ Tue, 27 May 2025 🕚 11:00–13:00 SAST 🔗 buff.ly/6nfB5ui #GraphLearning #SignalProcessing #AI #CoREAI #MachineLearning
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timorainio's profile picture. Senior Lecturer & Development Manager of The Regional Higher Education Network at Tampere University of Applied Sciences (Industrial Engineering, E-Mobility)
Timo Rainio
 @timorainio
18 apr.

Graph learning has evolved significantly. Early work in graph analysis was all about uncovering hidden patterns and relationships. Discover the journey here: ift.tt/9Rdnfbq #GraphLearning #DataScience #Evolution #Analytics #byAI

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DegasSeminar's profile picture. Virtual seminar series on Data Science on Graphs (DEGAS). Organized by the @IEEEsps Data Science Initiative.
DEGAS Seminar
 @DegasSeminar
16 apr.

Our next talk will be given by @lrjconan on "SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups". Join us on Apr 30 (Wed) at **5pm** (CET). Check out dsiseminar.github.io for details. #graphlearning #diffusionmodel

DegasSeminar's tweet image. Our next talk will be given by @lrjconan on "SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups". Join us on Apr 30 (Wed) at **5pm** (CET). Check out dsiseminar.github.io for details. #graphlearning #diffusionmodel
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Geen resultaten voor "#graphlearning"
RoyShubhajit's profile picture. PhD Scholar at IIT Gandhinagar
Shubhajit Roy
 @RoyShubhajit
23 sep.

🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch

RoyShubhajit's tweet image. 🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch
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TuplesAI's profile picture. Building #trustworthyAI with scalable, transparent and safe algorithmic solutions for Planning & & Scheduling. EU funded project: grant agreement No 101070149
TUPLES Trustworthy AI
 @TuplesAI
20 aug.

At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk

TuplesAI's tweet image. At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk
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NITheCS's profile picture. National Institute for Theoretical and Computational Sciences
NITheCS
 @NITheCS
15 mei

NITheCS & CoRE AI Masterclass: 'An Introduction to Graph Learning & Signal Processing' 🎓 With Dr Fei He & Stephan Goerttler (Coventry University) 🗓️ Tue, 27 May 2025 🕚 11:00–13:00 SAST 🔗 buff.ly/6nfB5ui #GraphLearning #SignalProcessing #AI #CoREAI #MachineLearning

NITheCS's tweet image. NITheCS & CoRE AI Masterclass: 'An Introduction to Graph Learning & Signal Processing' 🎓 With Dr Fei He & Stephan Goerttler (Coventry University) 🗓️ Tue, 27 May 2025 🕚 11:00–13:00 SAST 🔗 buff.ly/6nfB5ui #GraphLearning #SignalProcessing #AI #CoREAI #MachineLearning
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MikelEcheve's profile picture. 🚀 Full-Stack & AI Dev — GPT/ML Automation 🇪🇸 → 🇨🇭 Relocate | 📬 DM open | Weekly #AI threads 🔗
Mikel
 @MikelEcheve
5 aug.

🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning

MikelEcheve's tweet image. 🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning
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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
4 okt.

Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…

jure's tweet image. Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
12 nov.

Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey

fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
fxia61's tweet image. Our comprehensive survey on Graph Learning (180+ pages) is out! We map the landscape & future of learning on graphs. On arXiv: arxiv.org/abs/2507.05636 Published at: nowpublishers.com/article/Detail… #GraphLearning #GNN #MachineLearning #AI #Research #GraphNeuralNetworks #Survey
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
12 jan. 2024

Get news and updates from Kumo AI. We're bringing the most powerful #GraphLearning approaches, proven in research, to the enterprise. hubs.ly/Q02g3LXK0

Kumo_ai_team's tweet image. Get news and updates from Kumo AI. We're bringing the most powerful #GraphLearning approaches, proven in research, to the enterprise. hubs.ly/Q02g3LXK0
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
22 dec. 2023

📊#GNN case study: 73% better predicting “next best" offers at an online bank in 3-days of modeling across 3B records. Learn more: hubs.ly/Q02dclSP0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 📊#GNN case study: 73% better predicting “next best" offers at an online bank in 3-days of modeling across 3B records. Learn more: hubs.ly/Q02dclSP0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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danilo_danese's profile picture. Exploring High Dimensional Low Sample Size data
Danilo Danese
 @danilo_danese
16 okt. 2024

@scne just presented their latest work at @ACMRecSys #GraphLearning session. This work, co-authored by @dmalitesta @alberto_mancino @walteranelli @TommasoDiNoia Explores the relationship between topological datasets characteristics and GNN based recommender systems.

danilo_danese's tweet image. @scne just presented their latest work at @ACMRecSys #GraphLearning session. This work, co-authored by @dmalitesta @alberto_mancino @walteranelli @TommasoDiNoia Explores the relationship between topological datasets characteristics and GNN based recommender systems.
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
22 dec. 2023

🔎#GNN case study: 40% Improvement in merchant recommendations for on-demand delivery service in 4-days across 3B records. Read more: hubs.ly/Q02dcy4F0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 🔎#GNN case study: 40% Improvement in merchant recommendations for on-demand delivery service in 4-days across 3B records. Read more: hubs.ly/Q02dcy4F0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
23 okt. 2023

Dive into #GraphLearning at the Stanford Graph Learning Workshop 2023! FREE online stream next Tuesday, Oct 24. Discover cutting-edge ML advancements & connect with industry leaders. Register now: hubs.ly/Q0268yvR0

Kumo_ai_team's tweet image. Dive into #GraphLearning at the Stanford Graph Learning Workshop 2023! FREE online stream next Tuesday, Oct 24. Discover cutting-edge ML advancements & connect with industry leaders. Register now: hubs.ly/Q0268yvR0
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
7 dec. 2023

🔎#GNN case study: 73% Improvement predicting “next” best financial offers to customers at a leading online bank in 3-days of modeling across 3B records. Read more: hubs.ly/Q02bV6PR0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 🔎#GNN case study: 73% Improvement predicting “next” best financial offers to customers at a leading online bank in 3-days of modeling across 3B records. Read more: hubs.ly/Q02bV6PR0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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YinglongXia's profile picture. Meta AI, ex-Futurewei, ex-IBM Research; Graph learning, user understanding, recommendation system, high performance computing
Yinglong Xia
 @YinglongXia
24 okt. 2023

Excited to participate in the industry panel in the #stanford #GraphLearning workshop, sharing tho. Graph ML remains an exciting topic in many industrial segments, with new opportunities rising up thru #GenAI.

YinglongXia's tweet image. Excited to participate in the industry panel in the #stanford #GraphLearning workshop, sharing tho. Graph ML remains an exciting topic in many industrial segments, with new opportunities rising up thru #GenAI.
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vlruso's profile picture. #ProductLaunch #Scrum #UX #Research #DataSciense #AI
Vlad Ruso PhD
 @vlruso
2 sep. 2024

AnyGraph: An Effective and Efficient Graph Foundation Model Designed to Address the Multifaceted Challenges of Structure and Feature Heterogeneity Across Diverse Graph Datasets itinai.com/anygraph-an-ef… #GraphLearning #AnyGraph #AI #DataScience #MachineLearning #ai #news #llm #…

vlruso's tweet image. AnyGraph: An Effective and Efficient Graph Foundation Model Designed to Address the Multifaceted Challenges of Structure and Feature Heterogeneity Across Diverse Graph Datasets itinai.com/anygraph-an-ef… #GraphLearning #AnyGraph #AI #DataScience #MachineLearning #ai #news #llm #…
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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
7 jul. 2023

A really good webinar on how effective #GraphLearning can be for your customer growth initiatives: #LTV #Churn #CustomerRetention hubs.ly/Q01X21pB0

jure's tweet image. A really good webinar on how effective #GraphLearning can be for your customer growth initiatives: #LTV #Churn #CustomerRetention hubs.ly/Q01X21pB0
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
18 feb. 2023

In this fresh survey paper, we provide a comprehensive overview of graph learning methods for anomaly analytics tasks and applications. arxiv.org/abs/2212.05532 doi.org/10.1145/3570906 #graphlearning #AI #machinelearning #anomalydetection #artificialintelligence

fxia61's tweet image. In this fresh survey paper, we provide a comprehensive overview of graph learning methods for anomaly analytics tasks and applications. arxiv.org/abs/2212.05532 doi.org/10.1145/3570906 #graphlearning #AI #machinelearning #anomalydetection #artificialintelligence
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LBRCE1's profile picture. LBRCE is an Autonomous Institution. This is an Official Twitter Handle of LBRCE, managed by Information Cell. Note: RTs (Retweets) are not endorsements.
LBRCE (AUTONOMOUS)
 @LBRCE1
21 dec. 2023

Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.

LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
3 mrt. 2023

Deadline extended to 1 July 2023. Early submissions are encouraged/preferred. IEEE TNNLS Special Issue on Graph Learning. See CFP: xia.ai/tnnls-si-gl #GraphLearning #AI #machinelearning #datascience #deeplearning #networks #graphs

fxia61's tweet image. Deadline extended to 1 July 2023. Early submissions are encouraged/preferred. IEEE TNNLS Special Issue on Graph Learning. See CFP: xia.ai/tnnls-si-gl #GraphLearning #AI #machinelearning #datascience #deeplearning #networks #graphs
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
2 mei 2023

Sadly being unable to attend #TheWebConf2023 #WWW2023 in person. But we do have two full papers being published there, both on #graphlearning. Full text FREE ACCESS @ACMDL doi.org/10.1145/354350… doi.org/10.1145/354350…

fxia61's tweet image. Sadly being unable to attend #TheWebConf2023 #WWW2023 in person. But we do have two full papers being published there, both on #graphlearning. Full text FREE ACCESS @ACMDL doi.org/10.1145/354350… doi.org/10.1145/354350…
fxia61's tweet image. Sadly being unable to attend #TheWebConf2023 #WWW2023 in person. But we do have two full papers being published there, both on #graphlearning. Full text FREE ACCESS @ACMDL doi.org/10.1145/354350… doi.org/10.1145/354350…
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