CurryTang / Towards-graph-foundation-models
☆77Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Towards-graph-foundation-models
- Accompanied repositories for our paper Graph foundation model☆144Updated 2 months ago
- List of papers on ICLR 2024☆51Updated 8 months ago
- List of papers on ICML2023.☆55Updated last year
- ☆77Updated last year
- List of papers on NeurIPS2023☆87Updated 11 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆104Updated 8 months ago
- ☆24Updated 2 months ago
- ☆44Updated last month
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆44Updated last week
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆171Updated 9 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆94Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆179Updated 5 months ago
- ☆116Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆78Updated 7 months ago
- ☆156Updated 7 months ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆88Updated 10 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆178Updated 5 months ago
- Dynamic Graph Benchmark☆68Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆19Updated last year
- Code for our paper "Attending to Graph Transformers"☆80Updated 11 months ago
- [NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"☆50Updated 2 weeks ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆185Updated this week
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆80Updated last year
- GraphAny: A foundation model for node classification on any graph.☆111Updated 5 months ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆74Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆79Updated 2 months ago
- Rex Ying's Ph.D. Thesis, Stanford University☆40Updated 2 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆31Updated last year
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆29Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆28Updated 2 weeks ago