CurryTang / Towards-graph-foundation-modelsLinks
☆89Updated last year
Alternatives and similar repositories for Towards-graph-foundation-models
Users that are interested in Towards-graph-foundation-models are comparing it to the libraries listed below
Sorting:
- List of papers on ICLR 2024☆57Updated last year
- Accompanied repositories for our paper Graph foundation model☆211Updated 8 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 7 months ago
- List of papers on NeurIPS2023☆89Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆199Updated 7 months ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 8 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆118Updated last year
- ☆56Updated 10 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆100Updated last year
- List of papers on ICML2023.☆55Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆226Updated last year
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- ☆95Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆200Updated 5 months ago
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated last year
- Papers about out-of-distribution generalization on graphs.☆165Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆162Updated last month
- ☆129Updated 4 months ago
- ☆47Updated 11 months ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆128Updated last year
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆62Updated 9 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆83Updated last year