XiaoxinHe / neurips2023_learning_on_graphsLinks
List of papers on NeurIPS2023
☆89Updated last year
Alternatives and similar repositories for neurips2023_learning_on_graphs
Users that are interested in neurips2023_learning_on_graphs are comparing it to the libraries listed below
Sorting:
- ☆89Updated last year
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆98Updated 10 months ago
- List of papers on ICML2023.☆55Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆85Updated 11 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆158Updated last year
- List of papers on ICLR 2024☆58Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆202Updated 6 months ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆220Updated 10 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆89Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆164Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated 2 years ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆66Updated 3 months ago
- All graph/GNN papers accepted at NeurIPS 2024.☆83Updated 10 months ago
- Accompanied repositories for our paper Graph foundation model☆217Updated 10 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- Graph Positional and Structural Encoder☆53Updated 7 months ago
- ☆41Updated 3 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆165Updated last month
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆126Updated 3 weeks ago
- ☆23Updated last year
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆47Updated last year