WujiangXu / AMID

Related projects: ⓘ

• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆59Updated last year
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆48Updated 6 months ago
• cjx96 / UniCDR
  [WSDM 2023]Towards Universal Cross-Domain Recommendation
  ☆16Updated last year
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆54Updated 2 years ago
• Applied-Machine-Learning-Lab / LinRec
  ☆15Updated last month
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆55Updated 6 months ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆49Updated last year
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆18Updated last year
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆54Updated last year
• Guanyu-Lin / MAN
  ☆12Updated 6 months ago
• THUDM / RecDCL
  RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)
  ☆19Updated 2 months ago
• KingGugu / TiCoSeRec
  Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
  ☆52Updated last year
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆32Updated 2 years ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆16Updated last year
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆65Updated last year
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆55Updated 3 months ago
• LiuXiangYuan / MBA
  [SIGIR 2023] Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
  ☆14Updated last year
• enoche / BM3
  Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23
  ☆49Updated last year
• sdu-zyx / GCL4SR
  ☆24Updated 2 years ago
• Ee1s / NirGNN
  The code of 'Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation', WWW-23
  ☆18Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆52Updated 6 months ago
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆37Updated 4 months ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 10 months ago
• YangZhengyi98 / DROS
  ☆25Updated 9 months ago
• RUCAIBox / RecBole-CDR
  This is a library built upon RecBole for cross-domain recommendation algorithms
  ☆82Updated 5 months ago
• QinHsiu / ICSRec
  [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…
  ☆22Updated 8 months ago
• Chain123 / CAT-ART
  One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)
  ☆32Updated last month
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆29Updated last year
• salesforce / ICLRec
  ☆88Updated 2 years ago
• tanatosuu / GDE
  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
  ☆31Updated 9 months ago