Claude Code-driven research paper proofreading prompt

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Must-read papers on graph foundation models (GFMs)

Accompanied repositories for our paper Graph foundation model

A collection of graph foundation models including papers, codes, and datasets.

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

graph wavenet

Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality

A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening (NeurIPS 2024)