Graph-COM / SPE
Official code for SPE
☆11Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for SPE
- Source code for From Stars to Subgraphs (ICLR 2022)☆64Updated 7 months ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆61Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Code for our paper "Attending to Graph Transformers"☆80Updated last year
- Graph Positional and Structural Encoder☆42Updated last month
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆47Updated 2 years ago
- ☆40Updated 3 months ago
- ☆18Updated last year
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆13Updated 5 months ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated last year
- ☆54Updated 3 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆40Updated 2 years ago
- ☆37Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆48Updated 8 months ago
- List of papers on ICML2023.☆55Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆19Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆82Updated 8 months ago
- ☆41Updated 2 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆35Updated 5 months ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 2 years ago
- Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attri…☆67Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆17Updated 8 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆37Updated 3 months ago
- ☆18Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆54Updated 2 years ago
- A library for subgraph GNN based on pyg☆39Updated 5 months ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆23Updated 2 years ago
- Paper list for knowledge hypergraph☆30Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆153Updated 11 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆72Updated last year