CurryTang / Towards-graph-foundation-models
☆87Updated 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
- Accompanied repositories for our paper Graph foundation model☆201Updated 5 months ago
- List of papers on ICLR 2024☆56Updated last year
- List of papers on ICML2023.☆55Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆43Updated 4 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆115Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆95Updated last year
- ☆54Updated 7 months ago
- ☆91Updated last year
- List of papers on NeurIPS2023☆89Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆96Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆115Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆86Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆91Updated 5 months ago
- ☆127Updated last month
- Dynamic Graph Benchmark☆79Updated 2 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆35Updated 6 months ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆150Updated 2 weeks ago
- ☆171Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆80Updated 3 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 2 years ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆57Updated last week
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆132Updated 3 months ago
- A curated list of papers and resources about multimodal learning on graphs.☆31Updated 2 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆194Updated 4 months ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆111Updated 8 months ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year