There are 3 repositories under graph-foundation-model topic.
Papers about large graph models.
Accompanied repositories for our paper Graph foundation model
Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
[NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular property prediction and developed by NS Lab, CUK based on pure PyTorch backend.
A Large Language Model Alone Can be a Powerful Graph Foundation Model