XiaoxinHe / neurips2023_learning_on_graphs
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
- ☆87Updated last year
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆158Updated last year
- List of papers on ICML2023.☆55Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆77Updated last year
- All graph/GNN papers accepted at NeurIPS 2024.☆78Updated 5 months ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆56Updated this week
- Transformer-based Spectral Graph Neural Networks☆80Updated 6 months ago
- List of papers on ICLR 2024☆56Updated last year
- A library for subgraph GNN based on pyg☆41Updated 4 months ago
- A List of Papers on Theoretical Foundations of Graph Neural Networks☆29Updated 2 weeks ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆87Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆55Updated 2 years ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated 10 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆125Updated last year
- ☆31Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆41Updated 3 weeks ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆90Updated 5 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆119Updated 4 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆115Updated last year
- Graph Positional and Structural Encoder☆48Updated 3 months ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆12Updated 10 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆195Updated 2 months ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- Accompanied repositories for our paper Graph foundation model☆201Updated 5 months ago