Explore tweets tagged as #LearningOnGraphs
Recently, I found an interestingpaper that love to share with those interested in graph generation!. π Paper Spotlight: "Generative Modeling of Labeled Graphs Under Data Scarcity" . #MachineLearning #GraphGeneration #LoG #LearningOnGraphs #GraphPaper.
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Hello! It's my first post and this time, I'd like to introduce interesting paper, "KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation". #LoG #LearningOnGraphs #GraphPaper.
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Here is the link for the tutorial. See you tomorrow (Nov, 26) at 14:00-15:30, US east coast time. Zoom: Youtube:
Watch out your graph before learning on it, because heterophilic graph is everywhere and it can destroy your model badly. Come to learn about heterophilic graph learning with @WilliamCQHua, Qincheng Lu and me at @LogConference . Check out for updates.
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Hi, I am always interested in discovering how drug effects are complex in human body using AI and I found out an attractive paper 'Distributed Representatons of Graphs for Drug Pair Scoring'. #LoG #LearningOnGraphs #GraphPaper.
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π§΅[7/7] Get started with clicking the link below!.Paper: Poster: #LoG #LearningOnGraphs #GraphPaper.
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Recently, I came across this interesting paper entitled βEdge Directionality Improves Learning on Heterophilic Graphsβ. #LoG #LearningOnGraphs #GraphPaper.
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Recently, I've been very interested in exploring graph generative models for drug discovery. I came across a paper titled βA Latent Diffusion Model for Protein Structure Generation.β. #LoG #LearningOnGraphs #GraphPaper.
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In *WEISFEILER AND LEMAN GO MACHINE LEARNING: THE STORY SO FAR*, we surveyed recent developments of the seminal ideas by Weisfeiler and Leman for #LearningOnGraphs. Led by @chrmrrs, w/ @lipmanya @HaggaiMaron @Pseudomanifold @nmkriege M. Grohe @rusty1s .
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We are starting with @loukasa_tweet's keynote in 10 minutes! . Join us now:.Zoom: YouTube livestream:
On Day 2 of LoG 2023, we have:. 𧬠an exciting keynote by @loukasa_tweet from @PrescientDesign on GDL for protein design. π the second poster session on GatherTown. π algorithmically themes oral presentations (see below). βοΈ tutorial on how to scale up your GNN. See you there!
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