jacquesfize / GMatch4py
A graph matching library for Python
☆193Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for GMatch4py
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆123Updated 8 months ago
- A package for computing Graph Kernels☆102Updated last year
- Implementation of "Deep Graph Matching Consensus" in PyTorch☆259Updated 3 years ago
- Position-aware Graph Neural Networks☆395Updated 4 years ago
- ☆415Updated 5 years ago
- ☆341Updated 4 months ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆696Updated 2 years ago
- ☆146Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆329Updated 3 years ago
- ☆345Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆267Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆383Updated 5 months ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆183Updated 2 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆155Updated 6 years ago
- Graph Markov Neural Networks☆401Updated 4 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆313Updated 10 months ago
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆264Updated 3 weeks ago
- A scikit-learn compatible library for graph kernels☆599Updated 3 weeks ago
- Distance Encoding for GNN Design☆183Updated 3 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆283Updated 2 years ago
- ☆479Updated 3 years ago
- ☆136Updated 3 years ago
- PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…☆286Updated last month
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆341Updated 2 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆133Updated 5 years ago
- ☆170Updated 5 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆78Updated 2 months ago
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆81Updated 4 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆469Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆190Updated 3 years ago