loukasa / graph-coarsening
Multilevel graph coarsening algorithm with spectral and cut guarantees
☆88Updated 4 years ago
Alternatives and similar repositories for graph-coarsening:
Users that are interested in graph-coarsening are comparing it to the libraries listed below
- Gradient gating (ICLR 2023)☆53Updated last year
- ☆21Updated 10 months ago
- ☆350Updated 10 months ago
- ☆57Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 7 months ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆95Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆138Updated 2 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆50Updated last year
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆27Updated 10 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆158Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆95Updated last year
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆37Updated 2 years ago
- ☆43Updated 8 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆122Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆54Updated 2 years ago
- ☆134Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- ☆76Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆115Updated 2 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆69Updated 2 years ago
- ☆46Updated 3 years ago
- ☆156Updated 3 years ago