Media Summary: [ICML 2024] Individual Fairness in Graph Decomposition Speaker: Jihyeong Jung, KAIST Authors: Jihyeong Jung, Sangwoo Seo, Sungwon Kim and Chanyoung Park. This is official ... [ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

Icml 2024 Tutorial Graph Learning Principles Challenges And Open Directions - Detailed Analysis & Overview

[ICML 2024] Individual Fairness in Graph Decomposition Speaker: Jihyeong Jung, KAIST Authors: Jihyeong Jung, Sangwoo Seo, Sungwon Kim and Chanyoung Park. This is official ... [ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs Project page (with further readings): Abstract: We divide "intelligence" into multiple dimensions (like ... Short video explaining the paper: Subgraphormer: Unifying Subgraph GNNs and So now that we have kind of uh we flew through uh kind of an introduction to reinforcement

ICML Tutorial Climate Change and Machine Learning Opportunities, Challenges, and Considerations In Proceedings of the International Conference on Machine

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ICML 2024 Tutorial -  Graph Learning: Principles, Challenges, and Open Directions
Introduction of ICML 2024  paper VisionGraph
ICML 2024 Tutorial"Machine Learning on Function spaces #NeuralOperators"
[ICML 2024] Individual Fairness in Graph Decomposition
ICML 2024 -  Unsupervised Episode Generation for Graph Meta-learning
[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
Triplet Graph Transformers: Advancing Molecular Graph Learning | ICML 2024 Poster Presentation
ICML 2024 Tutorial: Physics of Language Models
[ICML 2024] MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)
[ITSC 2024 Tutorial] Graph Reinforcement Learning - Daniele Gammelli
[ICML 2024] Graph Geometry-Preserving Autoencoders
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