Alternatives and similar repositories for GraphDA:

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

• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆25Updated 5 months ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆16Updated 2 years ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆62Updated last year
• tanatosuu / GDE
  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
  ☆32Updated last year
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆37Updated 2 years ago
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆29Updated last year
• sdu-zyx / GCL4SR
  ☆23Updated 2 years ago
• THUDM / RecDCL
  RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)
  ☆23Updated 6 months ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆57Updated 10 months ago
• QinHsiu / ICSRec
  [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…
  ☆29Updated last year
• cjx96 / UniCDR
  [WSDM 2023]Towards Universal Cross-Domain Recommendation
  ☆20Updated 2 years ago
• tsinghua-fib-lab / MBGCN
  ☆29Updated 2 years ago
• SS-00-SS / MBCGCN
  MBCGCN
  ☆13Updated 2 years ago
• LiuXiangYuan / MBA
  [SIGIR 2023] Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
  ☆14Updated last year
• CRIPAC-DIG / DGSR
  [TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
  ☆64Updated 5 months ago
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆62Updated last year
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆58Updated last year
• hw-du / CBiT
  Implementation of the paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation".
  ☆27Updated 2 years ago
• DyGRec / TGSRec
  ☆54Updated 2 years ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 3 months ago
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆59Updated 10 months ago
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆11Updated 5 months ago
• MEICRS / GDSRec
  ☆15Updated last year
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆50Updated 11 months ago
• cjx96 / C2DSR
  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation
  ☆37Updated 2 years ago
• AnsongLi / TIE-DGNN
  This is the code for the Paper: Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation
  ☆14Updated 2 years ago
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆26Updated 5 months ago
• Wu-Xi / SimGCL-MixGCF
  ☆25Updated 2 years ago
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆42Updated 9 months ago
• MingshiYan / CRGCN
  Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
  ☆11Updated last year