Alternatives and similar repositories for graph-lib

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

• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆36Updated 6 years ago
• dbblumenthal / gedlib
  An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.
  ☆62Updated 2 years ago
• chrsmrrs / glocalwl
  Source code for our IEEE ICDM 2017 paper "Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs".
  ☆11Updated 7 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆23Updated 5 years ago
• yunshengb / graph-matching-toolkit
  ☆13Updated 6 years ago
• dzambon / graph-matching-toolkit
  ☆25Updated 4 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• priba / siamese_ged
  Learning Graph Distances with Message PassingNeural Networks
  ☆13Updated 11 months ago
• jacquesfize / ged4py
  Implementation of a graph edit distance in python
  ☆34Updated 6 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 4 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 6 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
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• tvayer / PSCN
  A python implementation of Patchy-San Convolutional Network for Graph
  ☆41Updated 4 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 3 years ago
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated last year
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆87Updated 6 years ago
• rakshit-agrawal / LEAP
  LEAP (Learning Edges by Aggregation of Paths)
  ☆12Updated last year
• vermaMachineLearning / Universal-Graph-Embedding-Neural-Network
  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
  ☆40Updated 5 years ago
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆34Updated 4 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆126Updated 2 weeks ago
• Hanjun-Dai / steady_state_embedding
  Learning Steady-States of Iterative Algorithms over Graphs
  ☆40Updated 6 years ago
• spindro / AP-GCN
  Adaptive Propagation Graph Convolutional Network
  ☆23Updated 4 years ago
• jajupmochi / py-graph
  ☆8Updated 5 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 6 years ago
• GraphZoom-iclr / GraphZoom
  ☆14Updated 2 years ago
• annamalai-nr / subgraph2vec_tf
  This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
  ☆26Updated 7 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated last year