bgauzere / graph-lib

Related projects ⓘ

Alternatives and complementary repositories for graph-lib

• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆34Updated 6 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆23Updated 5 years ago
• priba / graph_metric.pytorch
  Graph Metric Learning in PyTorch
  ☆11Updated 3 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 4 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
• Hanjun-Dai / steady_state_embedding
  Learning Steady-States of Iterative Algorithms over Graphs
  ☆40Updated 6 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆49Updated 3 years ago
• annamalai-nr / subgraph2vec_tf
  This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
  ☆26Updated 7 years ago
• dzambon / graph-matching-toolkit
  ☆23Updated 4 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 6 years ago
• jacquesfize / ged4py
  Implementation of a graph edit distance in python
  ☆34Updated 5 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆58Updated 5 years ago
• BorgwardtLab / graph-kernels
  Graph kernels
  ☆55Updated 2 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• leichen2018 / Ring-GNN
  ☆12Updated 4 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 3 years ago
• stvdedal / gspan
  graph-based substructure pattern mining algorithm (authors: Xifeng Yan, Jiawei Han) implementation
  ☆10Updated 7 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 2 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆18Updated 5 years ago
• yunshengb / graph-matching-toolkit
  ☆13Updated 6 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆81Updated 6 years ago
• Tixierae / graph_2D_CNN
  Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…
  ☆77Updated 4 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 5 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 3 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated last year
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆44Updated 5 years ago
• KelestZ / CondGen
  Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
  ☆54Updated 5 years ago
• delta2323 / gnn-asymptotics
  Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
  ☆30Updated 4 years ago
• haakondr / graph-edit-distance-python
  ☆50Updated 7 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆23Updated 4 years ago