Alternatives and similar repositories for AdaMCL

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

• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆17Updated 2 years ago
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆63Updated last year
• tsinghua-fib-lab / MBGCN
  ☆31Updated 3 years ago
• THUDM / RecDCL
  RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)
  ☆26Updated 11 months ago
• tanatosuu / GDE
  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
  ☆34Updated last year
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆57Updated last year
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆77Updated last year
• ZzYUuuu / LightCCF
  [SIGIR25] Unveiling Contrastive Learning‘ Capability of Neighborhood Aggregation for Collaborative Filtering
  ☆13Updated 2 months ago
• CCIIPLab / MCCLK
  The source code for "Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System".
  ☆55Updated 3 years ago
• wujcan / SGL-Torch
  SGL PyTorch version
  ☆107Updated 3 years ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆62Updated 2 years ago
• CRIPAC-DIG / DGSR
  [TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
  ☆66Updated 10 months ago
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆67Updated 2 years ago
• AnsongLi / Disen-GNN
  This is the code for the Paper: Disentangled Graph Neural Networks for Session-based Recommendation
  ☆18Updated 3 years ago
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆28Updated 2 years ago
• LiuXiangYuan / MBA
  [SIGIR 2023] Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
  ☆15Updated 2 years ago
• sdu-zyx / GCL4SR
  ☆23Updated 3 years ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆59Updated 2 years ago
• SS-00-SS / MBCGCN
  MBCGCN
  ☆17Updated 2 years ago
• xizhu1022 / DA-GCN
  [ACM TOIS] Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs
  ☆11Updated 6 months ago
• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆30Updated 10 months ago
• liufancs / IMP_GCN
  ☆44Updated 4 years ago
• LFM-bot / IOCRec
  Pytorch implementation for paper: Multi-Intention Oriented Contrastive Learning for Sequential Recommendation (WSDM23)
  ☆16Updated 11 months ago
• QinHsiu / ICSRec
  [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…
  ☆30Updated last year
• RUCAIBox / NCL
  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
  ☆122Updated 2 years ago
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆48Updated last year
• Wu-Xi / SimGCL-MixGCF
  ☆25Updated 2 years ago
• YangLiangwei / DGRec
  ☆42Updated last year
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆17Updated 2 years ago
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆184Updated 2 years ago