Alternatives and similar repositories for GMatch4py

Users that are interested in GMatch4py are comparing it to the libraries listed below

• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 2 months ago
• rusty1s / deep-graph-matching-consensus
  Implementation of "Deep Graph Matching Consensus" in PyTorch
  ☆269Updated 3 years ago
• snap-stanford / neural-subgraph-learning-GNN
  ☆358Updated last year
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated 2 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆188Updated 3 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆83Updated 11 months ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 4 years ago
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆626Updated last month
• yunshengb / SimGNN
  ☆151Updated 5 years ago
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…
  ☆272Updated 5 months ago
• snap-stanford / GraphRNN
  ☆426Updated 6 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆195Updated 4 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆353Updated 2 months ago
• muhanzhang / DGCNN
  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
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆342Updated 4 years ago
• Lin-Yijie / Graph-Matching-Networks
  PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…
  ☆308Updated 10 months ago
• baldassarreFe / graph-network-explainability
  Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…
  ☆124Updated 5 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆187Updated 4 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆290Updated 3 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆272Updated 2 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆137Updated 6 years ago
• chrsmrrs / tudataset
  ☆95Updated 2 years ago
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆318Updated last year
• kfoynt / LocalGraphClustering
  ☆143Updated 4 years ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆198Updated 4 years ago
• yunshengb / UGraphEmb
  ☆49Updated 6 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆133Updated 4 years ago
• RexYing / diffpool
  ☆494Updated 4 years ago
• saibalmars / GraphRicciCurvature
  A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
  ☆259Updated last year