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#graphlearning نتائج البحث

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

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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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
٢٦ نوفمبرم

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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Keikha_f's profile picture. PhD #BiomedicalEngineering #ComputationalBiology #WomenInScience
FatemehKeikha
 @Keikha_f
٢٨ نوفمبرم

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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danilo_danese's profile picture. Exploring High Dimensional Low Sample Size data
Danilo Danese
 @danilo_danese
١٦ أكتوبر ٢٠٢٤ م

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

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

🚨 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
٧ يوليو ٢٠٢٣ م

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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RoyShubhajit's profile picture. PhD Scholar at IIT Gandhinagar
Shubhajit Roy
 @RoyShubhajit
٢٣ سبتمبرم

🚀 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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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
٢٧ يوليوم

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
١٤ يوليوم

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
١٤ أكتوبرم

📢 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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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
١٢ يناير ٢٠٢٤ م

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
٢٤ أكتوبر ٢٠٢٣ م

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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DegasSeminar's profile picture. Virtual seminar series on Data Science on Graphs (DEGAS). Organized by the @IEEEsps Data Science Initiative.
DEGAS Seminar
 @DegasSeminar
٥ نوفمبر ٢٠٢٤ م

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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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 ✈️ NeurIPS 2025
@EdwardJian2
٢٤ فبرايرم

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
١٥ مايو ٢٠٢٤ م

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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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
٢٢ ديسمبر ٢٠٢٣ م

📊#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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Keikha_f's profile picture. PhD #BiomedicalEngineering #ComputationalBiology #WomenInScience
FatemehKeikha
 @Keikha_f
٢٨ نوفمبرم

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
٢٦ نوفمبرم

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
١٢ نوفمبرم

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
١٤ أكتوبرم

📢 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
٤ أكتوبرم

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
٢٣ سبتمبرم

🚀 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
٢٠ أغسطسم

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
٥ أغسطسم

🚨 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
٢٧ يوليوم

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
١٤ يوليوم

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
٢٩ مايوم

#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
١٥ مايوم

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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لا توجد نتائج لـ "#graphlearning"
لا توجد نتائج لـ "#graphlearning"

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