jacquesfize / GMatch4py
A graph matching library for Python
☆193Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for GMatch4py
- A package for computing Graph Kernels☆102Updated last year
- Implementation of "Deep Graph Matching Consensus" in PyTorch☆259Updated 3 years ago
- ☆341Updated 4 months ago
- Implementation of a graph edit distance in python☆34Updated 5 years ago
- ☆415Updated 5 years ago
- Position-aware Graph Neural Networks☆395Updated 4 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆123Updated 8 months ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆155Updated 6 years ago
- ☆146Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆183Updated 2 years ago
- PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…☆285Updated last month
- Wasserstein Weisfeiler-Lehman Graph Kernels☆77Updated 2 months ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆191Updated 3 years ago
- ☆136Updated 3 years ago
- Hierarchical Graph Pooling with Structure Learning☆326Updated 3 years ago
- Bunch of aproximated graph edit distance algorithms.☆34Updated 6 years ago
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆81Updated 4 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆696Updated 2 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆133Updated 5 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆381Updated 4 months ago
- ☆92Updated last year
- Graph Markov Neural Networks☆400Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆340Updated 2 years ago
- Distance Encoding for GNN Design☆182Updated 3 years ago
- A scikit-learn compatible library for graph kernels☆599Updated 2 weeks ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆131Updated 4 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆283Updated 2 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆327Updated 4 years ago
- ☆476Updated 3 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".☆174Updated 6 years ago