ytchx1999 / Graphormer

Related projects: ⓘ

• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆36Updated last year
• LARS-research / PAS-OGB
  CIKM 2021: Pooling Architecture Search for Graph Classification
  ☆17Updated 2 years ago
• YuGuangWang / UFG
  ☆34Updated 2 years ago
• BioMedicalBigDataMiningLab / CSGNN
  ☆11Updated 3 years ago
• liugangcode / data_centric_transfer
  [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…
  ☆14Updated 6 months ago
• liugangcode / GREA
  [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
  ☆33Updated 3 months ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆63Updated 3 months ago
• mengliu1998 / DL4DisassortativeGraphs
  Papers about developing DL methods on disassortative graphs
  ☆48Updated 2 years ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆54Updated 2 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆62Updated 5 months ago
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆69Updated 7 months ago
• isjakewong / MIRACLE
  Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
  ☆41Updated 2 years ago
• DavideBuffelli / SAME
  Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…
  ☆16Updated 2 years ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆74Updated 2 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆45Updated 3 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆45Updated 11 months ago
• YuWVandy / DPGNN
  ☆35Updated last year
• shamim-hussain / egt
  Edge-Augmented Graph Transformer
  ☆44Updated 2 years ago
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆40Updated 3 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆17Updated 4 years ago
• tengxiao1 / GraphACL
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆23Updated 3 months ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆42Updated 8 months ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆51Updated last year
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆40Updated 3 years ago
• psanch21 / LCAT
  ☆20Updated last year
• DeepGraphLearning / GraphLoG
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆73Updated 3 years ago
• ha-lins / PGCL
  The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
  ☆23Updated 2 years ago
• RinneSz / GMAE
  Graph Masked Autoencoders
  ☆25Updated 2 years ago
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆40Updated last year
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆76Updated 2 years ago