Alternatives and similar repositories for GraphFormers:

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

• AndyJZhao / GLEM
  ☆124Updated last year
• ucbrise / graphtrans
  Representing Long-Range Context for Graph Neural Networks with Global Attention
  ☆125Updated 2 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆79Updated 2 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 3 years ago
• MingChen-Sun / GPPT
  ☆57Updated 2 years ago
• kaize0409 / HyperGAT_TextClassification
  Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
  ☆106Updated 4 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆120Updated 10 months ago
• Shen-Lab / GraphCL_Automated
  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…
  ☆110Updated 4 months ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆94Updated last year
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆167Updated 9 months ago
• qkrdmsghk / TextSSL
  [AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
  ☆32Updated 2 months ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆320Updated 9 months ago
• xjtuwgt / GNN-MAGNA
  ☆52Updated 3 years ago
• BorgwardtLab / SAT
  Official Pytorch code for Structure-Aware Transformer.
  ☆252Updated last year
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆153Updated 3 months ago
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆78Updated 2 years ago
• thiviyanT / torch-rgcn
  A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
  ☆120Updated 3 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆66Updated 2 years ago
• Namkyeong / AFGRL
  The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
  ☆76Updated 2 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 7 months ago
• acbull / HGT-DGL
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
  ☆72Updated 2 years ago
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆88Updated 3 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆44Updated 2 years ago
• pnnl / SLiCE
  Subgraph Based Learning of Contextual Embedding
  ☆29Updated 3 years ago
• ahxt / g-mixup
  [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification
  ☆96Updated 11 months ago
• DeepGraphLearning / NBFNet
  Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆200Updated last year
• ICT-GIMLab / SeHGNN
  ☆104Updated last year
• liun-online / HeCo
  The source code of HeCo
  ☆158Updated 2 years ago
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆87Updated 10 months ago
• skepsun / Adaptive-Graph-Diffusion-Networks
  ☆45Updated last month