Alternatives and similar repositories for awesome-graph-transformer

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

• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆959Updated 3 years ago
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,026Updated 2 years ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,673Updated last year
• rampasek / GraphGPS
  Recipe for a General, Powerful, Scalable Graph Transformer
  ☆731Updated 10 months ago
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆727Updated 2 weeks ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,006Updated last year
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆590Updated 9 months ago
• THUDM / GraphMAE
  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
  ☆514Updated 2 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆951Updated 8 months ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆942Updated 10 months ago
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,052Updated 11 months ago
• iMoonLab / DeepHypergraph
  A pytorch library for graph and hypergraph computation.
  ☆738Updated last year
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆668Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆831Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,796Updated last year
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆304Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,001Updated last week
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆562Updated 3 years ago
• jw9730 / tokengt
  [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
  ☆335Updated 2 years ago
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,271Updated 11 months ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆641Updated 2 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,216Updated 3 years ago
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆623Updated 9 months ago
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆309Updated last year
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆387Updated 2 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆328Updated last year
• tech-srl / how_attentive_are_gats
  Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
  ☆333Updated 3 years ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆278Updated last year
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆261Updated 3 months ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆394Updated 10 months ago