Alternatives and similar repositories for Graph-Transformer:

Users that are interested in Graph-Transformer are comparing it to the libraries listed below

• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,026Updated 2 years ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,006Updated last year
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆830Updated last year
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆394Updated 10 months ago
• RexYing / diffpool
  ☆490Updated 4 years ago
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆621Updated 9 months ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆561Updated 3 years ago
• EdisonLeeeee / GraphGallery
  GraphGallery is a gallery for benchmarking Graph Neural Networks
  ☆468Updated last year
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆492Updated 9 months ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆470Updated 2 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆348Updated 2 years ago
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆958Updated 3 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆327Updated last year
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆339Updated 3 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆640Updated 2 years ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆346Updated 4 years ago
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆591Updated 9 months ago
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆387Updated 2 years ago
• jwzhanggy / Graph-Bert
  Source code of Graph-Bert
  ☆491Updated last year
• zfjsail / gae-pytorch
  Graph Auto-Encoder in PyTorch
  ☆432Updated last year
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆474Updated 6 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆944Updated 9 months ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆293Updated 2 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆842Updated 3 years ago
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆404Updated 3 years ago
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆484Updated 2 years ago
• malllabiisc / CompGCN
  ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
  ☆616Updated 9 months ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆795Updated 2 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 4 years ago
• bingzhewei / geom-gcn
  ☆296Updated 2 years ago