Alternatives and similar repositories for graph-lib

Users that are interested in graph-lib are comparing it to the libraries listed below

• dbblumenthal / gedlib
  An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.
  ☆64Updated 2 years ago
• jacquesfize / GMatch4py
  A graph matching library for Python
  ☆207Updated last year
• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆36Updated 7 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 3 months ago
• jacquesfize / ged4py
  Implementation of a graph edit distance in python
  ☆34Updated 6 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆23Updated 5 years ago
• dzambon / graph-matching-toolkit
  ☆25Updated 5 years ago
• snap-stanford / neural-subgraph-learning-GNN
  ☆358Updated last year
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated 2 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 3 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆50Updated 4 years ago
• priba / graph_metric.pytorch
  Graph Metric Learning in PyTorch
  ☆10Updated 4 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
• Hanjun-Dai / steady_state_embedding
  Learning Steady-States of Iterative Algorithms over Graphs
  ☆40Updated 7 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆195Updated 4 years ago
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆88Updated 6 years 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
• haakondr / graph-edit-distance-python
  ☆49Updated 8 years ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• yunshengb / SimGNN
  ☆151Updated 5 years ago
• leftthomas / DGCNN
  A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
  ☆64Updated 2 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆46Updated 5 years ago
• rusty1s / deep-graph-matching-consensus
  Implementation of "Deep Graph Matching Consensus" in PyTorch
  ☆270Updated 3 years ago
• benedekrozemberczki / GraphWaveMachine
  A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
  ☆187Updated 2 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago