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#graphlearning результаты поиска

Keikha_f's profile picture. PhD #BiomedicalEngineering #ComputationalBiology #WomenInScience
FatemehKeikha
 @Keikha_f
28 нояб.г.

Excited to share our new paper, “TransMarker: Unveiling dynamic network biomarkers in cancer progression through cross-state graph alignment and optimal transport”, published in PLOS Computational Biology! #Bioinformatics #GraphLearning #CancerGenomics 🔗 doi.org/10.1371/journa…

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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 окт.г.

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 нояб.г.

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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ujun_asu's profile picture. Ph.D. Candidate @ASU | 🔍 Social Media Mining & Sociolinguistics | Modeling User Communication & Migration in the Social Media Landscape.
Ujun Jeong @ NeurIPS 2025✈️
 @ujun_asu
26 нояб.г.

Excited to be heading to NeurIPS 2025 next week in San Diego to present the work I did during my internship at Amazon 😄 If you’ll be around, let’s catch up and chat! Paper link: openreview.net/forum?id=gBGar… #NeurIPS #graphlearning

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danilo_danese's profile picture. Exploring High Dimensional Low Sample Size data
Danilo Danese
 @danilo_danese
16 окт. 2024 г.

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

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

🚨 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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RoyShubhajit's profile picture. PhD Scholar at IIT Gandhinagar
Shubhajit Roy
 @RoyShubhajit
23 сент.г.

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

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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felicsly's profile picture. Associate Professor at Hiroshima University 🇯🇵
Felix Lou
 @felicsly
14 окт.г.

📢 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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DegasSeminar's profile picture. Virtual seminar series on Data Science on Graphs (DEGAS). Organized by the @IEEEsps Data Science Initiative.
DEGAS Seminar
 @DegasSeminar
5 нояб. 2024 г.

Our next talk will be given by @Pseudomanifold on "Vertex, Edge, Clique: What's in a Graph?". Join us on Nov 20 (Wed) at **2pm** (CET). Check out dsiseminar.github.io for details. #graphlearning

DegasSeminar's tweet image. Our next talk will be given by @Pseudomanifold on "Vertex, Edge, Clique: What's in a Graph?". Join us on Nov 20 (Wed) at **2pm** (CET). Check out dsiseminar.github.io for details. #graphlearning
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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 июл.г.

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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YinglongXia's profile picture. Meta AI, ex-Futurewei, ex-IBM Research; Graph learning, user understanding, recommendation system, high performance computing
Yinglong Xia
 @YinglongXia
24 окт. 2023 г.

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 сент. 2024 г.

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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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 янв. 2024 г.

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

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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Creatus_AI's profile picture. Turn text into videos, images, and speech. Your face on an AI avatar? Done. Photos speaking? You got it! Ever wanted to clone yourself? Now, it's possible!
CREATUS.AI 🆓 AI-Native Workspace
 @Creatus_AI
8 янв.г.

JUST IN: PyG-SSL, an open-source library for Graph Self-Supervised Learning, is introduced by researchers. It offers a unified framework, modularity, benchmarks, and optimized performance. Enhances graph-based machine learning applications. #PyGSSL #GraphLearning

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ingo_S's profile picture. Professor of Machine Learning for Complex Networks at CAIDAS @Uni_Wue / Editor @epj_ds / Hiking, Cycling, Photography & Astronomy, private account
Ingo Scholtes
 @ingo_S
10 янв. 2023 г.

Looking forward to today's AI talk at CAIDAS at @Uni_WUE, where we are proud to feature @Pseudomanifold with his talk "Towards Topological Machine Learning: An Emerging Research Field". Join us at 16:15 in lecture hall 0.001 in the Z6 building! #AI #CAIDAS #GraphLearning

ingo_S's tweet image. Looking forward to today's AI talk at CAIDAS at @Uni_WUE, where we are proud to feature @Pseudomanifold with his talk "Towards Topological Machine Learning: An Emerging Research Field". Join us at 16:15 in lecture hall 0.001 in the Z6 building! #AI #CAIDAS #GraphLearning
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Keikha_f's profile picture. PhD #BiomedicalEngineering #ComputationalBiology #WomenInScience
FatemehKeikha
 @Keikha_f
28 нояб.г.

Excited to share our new paper, “TransMarker: Unveiling dynamic network biomarkers in cancer progression through cross-state graph alignment and optimal transport”, published in PLOS Computational Biology! #Bioinformatics #GraphLearning #CancerGenomics 🔗 doi.org/10.1371/journa…

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ujun_asu's profile picture. Ph.D. Candidate @ASU | 🔍 Social Media Mining & Sociolinguistics | Modeling User Communication & Migration in the Social Media Landscape.
Ujun Jeong @ NeurIPS 2025✈️
 @ujun_asu
26 нояб.г.

Excited to be heading to NeurIPS 2025 next week in San Diego to present the work I did during my internship at Amazon 😄 If you’ll be around, let’s catch up and chat! Paper link: openreview.net/forum?id=gBGar… #NeurIPS #graphlearning

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

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 окт.г.

📢 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 окт.г.

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 сент.г.

🚀 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 авг.г.

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 авг.г.

🚨 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 июл.г.

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 июл.г.

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 маяг.

#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 маяг.

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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Нет результатов для «#graphlearning»
fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
12 нояб.г.

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

🚀 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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YinglongXia's profile picture. Meta AI, ex-Futurewei, ex-IBM Research; Graph learning, user understanding, recommendation system, high performance computing
Yinglong Xia
 @YinglongXia
24 окт. 2023 г.

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

🚨 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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vlruso's profile picture. #ProductLaunch #Scrum #UX #Research #DataSciense #AI
Vlad Ruso PhD
 @vlruso
2 сент. 2024 г.

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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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 янв. 2024 г.

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

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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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 дек. 2023 г.

🔎#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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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 авг.г.

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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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 окт. 2023 г.

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
22 дек. 2023 г.

📊#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 окт. 2024 г.

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

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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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 дек. 2023 г.

🔎#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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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
2 мая 2023 г.

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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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
18 февр. 2023 г.

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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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
18 янв. 2023 г.

If your research is somehow related to graph learning, consider submitting a paper to IEEE TNNLS Special Issue on Graph Learning. See CFP: xia.ai/tnnls-si-gl #graphlearning #AI #machinelearning #deeplearning #networks #graphs #Brain

fxia61's tweet image. If your research is somehow related to graph learning, consider submitting a paper to IEEE TNNLS Special Issue on Graph Learning. See CFP: xia.ai/tnnls-si-gl #graphlearning #AI #machinelearning #deeplearning #networks #graphs #Brain
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
3 мар. 2023 г.

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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DegasSeminar's profile picture. Virtual seminar series on Data Science on Graphs (DEGAS). Organized by the @IEEEsps Data Science Initiative.
DEGAS Seminar
 @DegasSeminar
5 нояб. 2024 г.

Our next talk will be given by @Pseudomanifold on "Vertex, Edge, Clique: What's in a Graph?". Join us on Nov 20 (Wed) at **2pm** (CET). Check out dsiseminar.github.io for details. #graphlearning

DegasSeminar's tweet image. Our next talk will be given by @Pseudomanifold on "Vertex, Edge, Clique: What's in a Graph?". Join us on Nov 20 (Wed) at **2pm** (CET). Check out dsiseminar.github.io for details. #graphlearning
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