#graphML - Twitter Hashtag

3 days ago

Added Graph ML and Docker Fundamentals. Checkout engineering[dot]msaqlain[dot]com #GraphML #engineering #interview #placements

M Saqlain @imsaqlain22

4 days ago

A lot of knowledge which I have gathered over the years has been scattered. It becomes too difficult then when I have to revise something. So I created a repository where I can store all the knowledge which I have. Would love to have people to contribute to. #opensource

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Xingyue Huang @hxyscott

5 days ago

Now at GFM @ ICML 2026, we have the oral talk: GraphBench: Next-generation Graph Learning Benchmarking This work tackles one of the most important questions for graph foundation models: how should we evaluate progress? 📍 Room 308 #ICML2026 #GraphML #GFM

hxyscott's tweet photo. Now at GFM @ ICML 2026, we have the oral talk:

GraphBench: Next-generation Graph Learning Benchmarking

This work tackles one of the most important questions for graph foundation models: how should we evaluate progress?

📍 Room 308
#ICML2026 #GraphML #GFM https://t.co/QpHU6rxFuI

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Xingyue Huang @hxyscott

5 days ago

Now at GFM @ ICML 2026, we have the oral talk: GraphPFN: A Prior-Data Fitted Graph Foundation Model This work brings the Prior-Data Fitted Network paradigm to graph learning, aiming to build graph models that can generalize across datasets. 📍 Room 308 #ICML2026 #GraphML #GFM

hxyscott's tweet photo. Now at GFM @ ICML 2026, we have the oral talk:

GraphPFN: A Prior-Data Fitted Graph Foundation Model

This work brings the Prior-Data Fitted Network paradigm to graph learning, aiming to build graph models that can generalize across datasets.

📍 Room 308
#ICML2026 #GraphML #GFM https://t.co/oEKliMTP6Z

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Xingyue Huang @hxyscott

6 days ago

GFM @ ICML 2026 is tomorrow! 🚀 Join us for invited talks, orals, posters, panel discussion, and awards on graph foundation models. 📍 Room 308, COEX Seoul 🗓️ July 10 🔗 https://t.co/RNqmEAILyG #ICML2026 #GraphML #GFM

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Arijit K @rijitK

21 days ago

Sharing our PVLDB 2026 paper "FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism" https://t.co/GRXpZV9S9A #GraphEmbedding #GNNs #FeedbackLoop #GraphDataManagement #GraphML #PVLDB26 #PVLDB2026 #VLDB26 #VLDB2026 @VLDBconf

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LOGML Summer School @LogmlSchool

about 2 months ago

📣 LOGML'26 Speaker Series 🎤 Soledad Villar @SoledadVillar5 (Johns Hopkins) Her research spans equivariant ML, GNNs, with applications to computational biology. 📍 Imperial College London 📅 13–17 July 2026 🔗 https://t.co/iB0VitexDD #LOGML #GraphML #GeometricDeepLearning

LogmlSchool's tweet photo. 📣 LOGML'26 Speaker Series

🎤 Soledad Villar @SoledadVillar5 (Johns Hopkins)

Her research spans equivariant ML, GNNs, with applications to computational biology.

📍 Imperial College London
📅 13–17 July 2026
🔗 https://t.co/iB0VitexDD

#LOGML #GraphML #GeometricDeepLearning https://t.co/6yk8YQ2Qso

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LOGML Summer School @LogmlSchool

2 months ago

📣 LOGML 2026 Speaker Series 🎤 Dorina Thanou (EPFL) Works on graph signal processing and ML, focusing on interpretable, robust models for biomedicine and AI for health. 🔗 Apply: https://t.co/bfynGCiD86 ⏳ Deadline: 10 May 2026 #LOGML #Geometry #MachineLearning #GraphML

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Xingyue Huang @hxyscott

3 months ago

We are happy to announce that "Graph Foundation Models: A New Era for Graph Machine Learning" workshop has been accepted at #ICML2026! Call for papers on topics: Graph Foundation Models, LLMs/TFMs+Graphs, theory of GFMs, etc. 📷 Submit by May 3rd! 📷 #GraphML #GFM

hxyscott's tweet photo. We are happy to announce that "Graph Foundation Models: A New Era for Graph Machine Learning" workshop has been accepted at #ICML2026!

Call for papers on topics: Graph Foundation Models, LLMs/TFMs+Graphs, theory of GFMs, etc.

📷 Submit by May 3rd! 📷 #GraphML #GFM https://t.co/2IlVbGH5M3

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LOGML Summer School @LogmlSchool

4 months ago

LOGML 2026 mentor applications are still open! Deadline extended to 22 March 2026(AoE). Mentor a small team at Imperial College London during 13–17 July'26. Travel/accommodation support available. 🔗 https://t.co/LnuzLuFBc2 #LOGML #GeometricDeepLearning #GraphML #MachineLearning

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Comunidad Power BI Panamá @panama_pbiug

4 months ago

🎤 Conferencia | Graph ML para clima organizacional en banca (Caso Towerbank) 🗓 16 abril 🕒 3:55–4:40 P.M. 📍 Auditorio Einstein (2A), Learning Vila – Costa del Este Evento: Panamá Puente Digital 2026 🎟 https://t.co/sNritmohZB #PTYDigital2026 #GraphML #Banca #Data #Panama

panama_pbiug's tweet photo. 🎤 Conferencia | Graph ML para clima organizacional en banca (Caso Towerbank)

🗓 16 abril
🕒 3:55–4:40 P.M.
📍 Auditorio Einstein (2A), Learning Vila – Costa del Este

Evento: Panamá Puente Digital 2026
🎟 https://t.co/sNritmohZB

#PTYDigital2026 #GraphML #Banca #Data #Panama https://t.co/xdzf0Ndfl1

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Elisa Gómez de Lope @elisagdelope

5 months ago

Real time world digital twins are happening sooner than later. #graphML #worldmodels

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Arijit K @rijitK

6 months ago

paper accepted at #ICLR2026 #ICLR26 "ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks" by Yu Zhang, Sean Bin Yang, Arijit Khan, and Cuneyt Gurcan Akcora @cuneytgurcan https://t.co/IcSV1SsApc #GNN #ExplainableAI #AdverserialAttack #GraphAI #GraphML

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Prof. Truong-Son Hy

@sonpascal93

7 months ago

HySonLab @ NeurIPS 2025 Workshops 4 papers presented across AI for Science, Life Sciences, Climate Modeling, and Graph ML. Great discussions at the poster sessions. Proud of the team’s work! #NeurIPS2025 #AIforScience #GraphML #ClimateAI #ComputationalBiology

sonpascal93's tweet photo. HySonLab @ NeurIPS 2025 Workshops

4 papers presented across AI for Science, Life Sciences, Climate Modeling, and Graph ML.

Great discussions at the poster sessions. Proud of the team’s work!

#NeurIPS2025 #AIforScience #GraphML #ClimateAI #ComputationalBiology https://t.co/G5cgLqudfp

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Filippo Guerranti @ NeurIPS25 @guerrantif

8 months ago

Always happy to chat about graphs, generative models, or spatial omics while in San Diego. 🌊 See you there! 1️⃣https://t.co/SLhn6YL4yl 2️⃣https://t.co/2sBx3MkKUo 3️⃣ https://t.co/eRanXcREOn #MachineLearning #GraphML #GenerativeModels #SpatialTranscriptomics

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SEDIMARK @sedimark

8 months ago

“DiffGR: A Discrete Diffusion‑Based Model for Personalised Recommendation by Reconstructing User‑Item Bipartite Graphs” Meet DiffGR here 👇 https://t.co/OD3qskcYBW #GraphML #Recommendation #DiffusionModels

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Mμ Lab

@mulabpku

8 months ago

🏆 CIKM 2025 Best Full Paper Award! 🚀 We are thrilled to announce that we have won the prestigious Best Full Paper Award at CIKM 2025 for our work, "Reconsidering the Performance of GAE in Link Prediction"! 🎉 #CIKM2025 #GraphML #BestPaper

mulabpku's tweet photo. 🏆 CIKM 2025 Best Full Paper Award! 🚀

We are thrilled to announce that we have won the prestigious Best Full Paper Award at CIKM 2025 for our work, "Reconsidering the Performance of GAE in Link Prediction"! 🎉

#CIKM2025 #GraphML #BestPaper https://t.co/eJlDH1bjZr

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Karish Grover (✈️ICML’26)

@karishgrover

10 months ago

Excited to share that I’ve joined @Meta as a Visiting Researcher for the next year, in their Pittsburgh office, alongside my PhD at @mldcmu. I’ll be working on #GeometricDL and #GraphML, with @YinglongXia & @zimplex4, under the @AIatMeta AI Mentorship Program.

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Amit Kumar Jaiswal @AMIT_GKP

11 months ago

We've extended the submission deadline of our #IEEE ICDM Workshop on Graph-Augmented LLMs: Bridging Language and Structured Knowledge to September 5th (AoE)! For more info on the workshop and how to submit your work: https://t.co/iiHVtwUfWr #LLM #AI #GraphML #RAG #Analytics

Amit Kumar Jaiswal @AMIT_GKP

about 1 year ago

🚀 Call for Papers! 🚀 Excited to announce the "Graph-Augmented LLMs (GaLM): Bridging Language and Structured Knowledge" workshop at #IEEE ICDM 2025 in Washington, D.C.! Deadline: August 29, 2025. Submit your work or provocations ➡️ https://t.co/iiHVtwUNLZ

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Learning on Graphs Conference 2026 @LogConference

12 months ago

🚨 Reviewer Call — LoG 2025 📷 Passionate about graph ML or GNNs? Help shape the future of learning on graphs by reviewing for the LoG 2025 conference! 📷https://t.co/05V5vGgZbY 📷 RT & share! #GraphML #GNN #ML #AI #CallForReviewers

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Subhajit Bag @SubhajitB98

12 months ago

Just read a cool paper at #ICML2025: ML2-GCL – a manifold learning inspired, lightweight GCL method that: 1. Avoids risky augmentations with single-view design 2. Recovers global structure from local fits 3. Offers a closed-form solution, boosting efficiency #GraphML #AI #ML #DL

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