Montreal

Sitao Luan

Expert
@SitaoLuan

Montreal Institute for Learning Algorithms(Mila), University of Montreal. Interested in graph representation learning, GNNs and any graph-related application.

LLM4Graph.

193

ACM-GNN. NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

92

When-Do-GNNs-Help. Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability"

22

Learning-on-Graphs-Reading-Group.

6

Elementary-Stochastic-Process.

1

NBA.

1

cs224d. The answer of Stanford cs224d course assignments

1

SportsHackthon. HTML

1
8
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