Alternatives and similar repositories for GTE

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

• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆49Updated last year
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆69Updated last year
• HKUDS / DGNN
  [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
  ☆22Updated 2 years ago
• HKUDS / SimRec
  [WWW'23] "SimRec: Graph-less Collaborative Filtering"
  ☆32Updated 2 years ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆59Updated last year
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆29Updated last year
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆63Updated 2 years ago
• HKUDS / RCL
  [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
  ☆14Updated 2 years ago
• HKUDS / GraphAug
  [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
  ☆23Updated last year
• QwQ2000 / TheWebConf24-LTGNN-PyTorch
  TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
  ☆21Updated 3 months ago
• HKUDS / GFormer
  [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
  ☆72Updated last year
• WxxShirley / CIKM2023DiRec
  Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
  ☆17Updated 2 years ago
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆66Updated last year
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆17Updated 3 years ago
• HKUDS / SelfGNN
  [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
  ☆64Updated last year
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆192Updated 2 years ago
• HKUDS / MixRec
  [WSDM'2025] "MixRec: Heterogeneous Graph Collaborative Filtering"
  ☆16Updated 11 months ago
• yuwvandy / CAGCN
  This repository includes the implementation of CAGCN and the experiments on link prediction/node classification
  ☆54Updated 2 years ago
• HKUDS / RecDiff
  [CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
  ☆83Updated 5 months ago
• HKUDS / DiffGraph
  [WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
  ☆57Updated 5 months ago
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆100Updated 2 years ago
• HKUDS / CL4ST
  [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
  ☆23Updated last year
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆61Updated 2 years ago
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆14Updated last year
• HKUDS / HGCL
  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
  ☆121Updated last year
• tanatosuu / svd_gcn
  CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation
  ☆21Updated 3 years ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆46Updated last year
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆42Updated last year
• icmpnorequest / ICASSP2024_ASTHL
  The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation
  ☆12Updated last year
• RingBDStack / DGIB
  This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…
  ☆16Updated last year