Top Tweets for #GraphML
I would treat edge pruning or weight caps as control under budget, not cleanup. And once you start editing, the rankings need recomputing against the live operator. #SystemsLiteracy #GraphML
Paper: https://t.co/RlH0y2IAgp
Project + code: https://t.co/kzmF7Zwsd0
With @Lorenzo_molf , Gianluca Moro, Matteo Zignani and @PMinervini.
Milan, Bologna, Edinburgh and https://t.co/HaDptvcHLE.
#LoG2026 #GraphML
"Inductive Correlation Clustering with Graph Neural Networks" by F. P. Nerini, @FrancescoBonchi, A. Khan, & A. Panisson accepted as full research paper @ #CIKM2026 #CIKM26. Stay tuned for camera ready #GraphML #CorrelationClustering #GNN for #CombinatorialOptimizationProblem
π£ LOGML'26 Speaker Series
π€ Soledad Villar @SoledadVillar5 (Johns Hopkins)
Her research spans equivariant ML, GNNs, with applications to computational biology.
π Imperial College London
π
13β17 July 2026
π https://t.co/iB0VitexDD
#LOGML #GraphML #GeometricDeepLearning
π£ LOGML 2026 Speaker Series
π€ Dorina Thanou (EPFL)
Works on graph signal processing and ML, focusing on interpretable, robust models for biomedicine and AI for health.
π Apply: https://t.co/bfynGCiD86
β³ Deadline: 10 May 2026
#LOGML #Geometry #MachineLearning #GraphML
LOGML 2026 mentor applications are still open!
Deadline extended to 22 March 2026(AoE).
Mentor a small team at Imperial College London during 13β17 July'26.
Travel/accommodation support available.
π https://t.co/LnuzLuFBc2
#LOGML #GeometricDeepLearning #GraphML #MachineLearning
π€ Conferencia | Graph ML para clima organizacional en banca (Caso Towerbank)
π 16 abril
π 3:55β4:40 P.M.
π Auditorio Einstein (2A), Learning Vila β Costa del Este
Evento: PanamΓ‘ Puente Digital 2026
π https://t.co/sNritmohZB
#PTYDigital2026 #GraphML #Banca #Data #Panama
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
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 teamβs work!
#NeurIPS2025 #AIforScience #GraphML #ClimateAI #ComputationalBiology
Always happy to chat about graphs, generative models, or spatial omics while in San Diego. π
See you there!
1οΈβ£https://t.co/SLhn6YL4yl
2οΈβ£https://t.co/2sBx3MkKUo
3οΈβ£ https://t.co/eRanXcREOn
#MachineLearning #GraphML #GenerativeModels #SpatialTranscriptomics
βDiffGR: A Discrete DiffusionβBased Model for Personalised Recommendation by Reconstructing UserβItem Bipartite Graphsβ
Meet DiffGR here π
https://t.co/OD3qskcYBW
#GraphML #Recommendation #DiffusionModels
π CIKM 2025 Best Full Paper Award! π
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"! π
#CIKM2025 #GraphML #BestPaper
Excited to share that Iβve joined @Meta as a Visiting Researcher for the next year, in their Pittsburgh office, alongside my PhD at @mldcmu. Iβll be working on #GeometricDL and #GraphML, with @YinglongXia & @zimplex4, under the @AIatMeta AI Mentorship Program.
π Call for Papers! π
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 β‘οΈ https://t.co/iiHVtwUNLZ
π¨ Reviewer Call β LoG 2025 π· Passionate about graph ML or GNNs? Help shape the future of learning on graphs by reviewing for the LoG 2025 conference!
π·https://t.co/05V5vGgZbY
π· RT & share! #GraphML #GNN #ML #AI #CallForReviewers
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