XiaoxinHe / icml2023_learning_on_graphsLinks
List of papers on ICML2023.
☆56Updated 2 years ago
Alternatives and similar repositories for icml2023_learning_on_graphs
Users that are interested in icml2023_learning_on_graphs are comparing it to the libraries listed below
Sorting:
- ☆91Updated 2 years ago
- List of papers on NeurIPS2023☆90Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆162Updated 2 years ago
- List of papers on ICLR 2024☆58Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- ☆43Updated 2 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆167Updated last year
- ☆22Updated 3 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆105Updated 2 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Updated last year
- Accompanied repositories for our paper Graph foundation model☆230Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆41Updated 2 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆48Updated last year
- Dynamic Graph Benchmark☆87Updated 2 years ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆134Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Updated last year
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆116Updated 4 years ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆65Updated 8 months ago