Alternatives and similar repositories for Graph_Transformer_Networks

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

• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆674Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆853Updated last year
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆646Updated 2 years ago
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆987Updated 4 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆985Updated 11 months ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,027Updated 2 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,237Updated 4 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,152Updated 5 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆658Updated last year
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆412Updated 3 years ago
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆634Updated last year
• zfjsail / gae-pytorch
  Graph Auto-Encoder in PyTorch
  ☆439Updated last year
• RexYing / diffpool
  ☆493Updated 4 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,028Updated 5 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆472Updated 2 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆944Updated last year
• jwzhanggy / Graph-Bert
  Source code of Graph-Bert
  ☆499Updated 2 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆843Updated 3 years ago
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆601Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,207Updated 4 months ago
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆495Updated last year
• iMoonLab / HGNN
  Hypergraph Neural Networks (AAAI 2019)
  ☆766Updated 2 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆571Updated 3 years ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆354Updated 5 years ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆796Updated 2 years ago
• malllabiisc / CompGCN
  ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
  ☆623Updated last year
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,682Updated last year
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆923Updated 5 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆342Updated 4 years ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆394Updated last year