Alternatives and similar repositories for MBA:

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

• MingshiYan / CRGCN
  Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
  ☆11Updated last year
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆62Updated last year
• 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
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆58Updated 10 months ago
• tsinghua-fib-lab / MBGCN
  ☆28Updated 2 years ago
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆70Updated 7 months ago
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆29Updated last year
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆17Updated last year
• wubinzzu / Multi-Behavior-Recommendation-Papers
  Multi-Behavior Recommendation-Papers
  ☆11Updated 7 months ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆58Updated last year
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 2 months ago
• Scofield666 / MBSSL
  ☆23Updated last year
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆54Updated 2 years ago
• tanatosuu / GDE
  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
  ☆32Updated last year
• zc-97 / DPT
  ☆21Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆60Updated 10 months ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆62Updated last year
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆28Updated 5 months 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
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆67Updated 2 years ago
• CRIPAC-DIG / DGSR
  [TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
  ☆64Updated 5 months ago
• DyGRec / TGSRec
  ☆54Updated 2 years ago
• cjx96 / C2DSR
  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation
  ☆37Updated 2 years ago
• Zhang-xiaokun / DIMO
  SIGIR 2024, Session-based recommendation, Co-occurrence patterns of ID, Fine-grained preferences of Modality, Disentanglement learning.
  ☆17Updated 4 months ago
• sdu-zyx / GCL4SR
  ☆23Updated 2 years ago
• liufancs / IMP_GCN
  ☆43Updated 3 years ago
• SS-00-SS / MBCGCN
  MBCGCN
  ☆13Updated 2 years ago
• cjx96 / UniCDR
  [WSDM 2023]Towards Universal Cross-Domain Recommendation
  ☆20Updated 2 years ago
• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆25Updated 4 months ago
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆42Updated 8 months ago