Chen-Cai-OSU / GraphCoarseningLinks
Graph Coarsening with Neural Networks
☆11Updated 3 years ago
Alternatives and similar repositories for GraphCoarsening
Users that are interested in GraphCoarsening are comparing it to the libraries listed below
Sorting:
- Code for our paper "Attending to Graph Transformers"☆91Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆48Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆128Updated last month
- ☆58Updated 11 months ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆264Updated 3 years ago
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆14Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆165Updated last year
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 4 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 3 years ago
- ☆21Updated 2 years ago
- A library for subgraph GNN based on pyg☆40Updated 10 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- SignNet and BasisNet☆101Updated 2 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆30Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆258Updated 2 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆67Updated last month
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆23Updated 4 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆159Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- List of papers on NeurIPS2023☆89Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Edge-Augmented Graph Transformer☆80Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- ☆215Updated 2 years ago
- A graph transformer framework☆77Updated 3 years ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆57Updated 2 years ago