Alternatives and similar repositories for Graphormer

Users that are interested in Graphormer 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.
  ☆1,015Updated 4 years ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,047Updated 2 years ago
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,067Updated 2 years ago
• divelab / DIG
  A library for graph deep learning research
  ☆1,998Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,061Updated 7 months ago
• rampasek / GraphGPS
  Recipe for a General, Powerful, Scalable Graph Transformer
  ☆812Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,648Updated 2 years ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,702Updated last year
• wehos / awesome-graph-transformer
  Papers about graph transformers.
  ☆919Updated 9 months ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆1,018Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,865Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆886Updated 2 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,477Updated 3 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,266Updated 4 years ago
• diegoantognini / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,098Updated 2 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆960Updated last year
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆678Updated 3 years ago
• AntonioLonga / PytorchGeometricTutorial
  Pytorch Geometric Tutorials
  ☆1,151Updated 2 years ago
• tech-srl / how_attentive_are_gats
  Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
  ☆354Updated 3 years ago
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆658Updated last year
• THUDM / GraphMAE
  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
  ☆566Updated 2 years ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,814Updated last year
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,189Updated 5 years ago
• jwzhanggy / Graph-Bert
  Source code of Graph-Bert
  ☆506Updated 2 years ago
• lightaime / deep_gcns_torch
  Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
  ☆1,188Updated 3 years ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆808Updated 2 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆674Updated 2 years ago
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,145Updated last year
• gordicaleksa / pytorch-GAT
  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…
  ☆2,635Updated 3 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆660Updated 3 years ago