Alternatives and similar repositories for GENN-Astar

Users that are interested in GENN-Astar are comparing it to the libraries listed below

• yunshengb / GraphSim
  ☆54Updated 5 years ago
• idea-iitd / greed
  official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"
  ☆29Updated last year
• gospodima / Extended-SimGNN
  A PyTorch Geometric implementation of SimGNN with some extensions.
  ☆61Updated last year
• pkumod / Noah-GED
  Source code of “Noah: Neural-optimized A* Search Algorithm for Graph Edit Distance Computation”, accepted by ICDE 2021. Authors: Lei Yang…
  ☆21Updated 3 years ago
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆65Updated 2 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆58Updated 5 years ago
• mims-harvard / G-Meta
  Graph meta learning via local subgraphs (NeurIPS 2020)
  ☆123Updated 11 months ago
• yunshengb / graph-matching-toolkit
  ☆13Updated 7 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆69Updated last year
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• ppope / explain_graphs
  Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …
  ☆34Updated 3 months ago
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆100Updated 4 years ago
• ryderling / MGMN
  Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"
  ☆46Updated 3 years ago
• ChengtaiCao / Meta-GNN
  ☆63Updated 2 years ago
• yunshengb / UGraphEmb
  ☆49Updated 5 years ago
• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆36Updated 6 years ago
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆110Updated 4 years ago
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆41Updated 4 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆57Updated 4 years ago
• Shen-Lab / GraphCL_Automated
  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…
  ☆113Updated 9 months ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 4 years ago
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆88Updated 3 years ago
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆77Updated last year
• acbull / HGT-DGL
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
  ☆74Updated 2 years ago
• DeepGraphLearning / GraphLoG
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆80Updated 4 years ago
• Fangyinfff / KCL
  Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]
  ☆90Updated last year
• LARS-research / PAS-OGB
  CIKM 2021: Pooling Architecture Search for Graph Classification
  ☆20Updated 2 years ago
• yunshengb / SimGNN
  ☆150Updated 5 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago