jacquesfize / GMatch4pyLinks
A graph matching library for Python
☆208Updated last year
Alternatives and similar repositories for GMatch4py
Users that are interested in GMatch4py are comparing it to the libraries listed below
Sorting:
- ☆360Updated last year
- Implementation of "Deep Graph Matching Consensus" in PyTorch☆270Updated 4 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Updated 4 months ago
- A package for computing Graph Kernels☆104Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆342Updated 4 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆354Updated 3 months ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆189Updated 3 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 4 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆84Updated last year
- ☆151Updated 6 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆273Updated 6 months ago
- ☆429Updated 6 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆292Updated 3 years ago
- ☆96Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆290Updated 4 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…☆311Updated 11 months ago
- ☆497Updated 4 years ago
- Implementation of a graph edit distance in python☆34Updated 6 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆320Updated last year
- A scikit-learn compatible library for graph kernels☆628Updated 2 months ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 4 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆178Updated 7 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆335Updated 4 years ago