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
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆71Updated 8 months ago
• tsinghua-fib-lab / MBGCN
  ☆29Updated 2 years ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆57Updated 11 months ago
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆62Updated last year
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆17Updated 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
• CCIIPLab / MCCLK
  The source code for "Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System".
  ☆52Updated 2 years ago
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆29Updated last year
• CRIPAC-DIG / DGSR
  [TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
  ☆64Updated 6 months ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆58Updated last year
• wubinzzu / Multi-Behavior-Recommendation-Papers
  Multi-Behavior Recommendation-Papers
  ☆11Updated 8 months ago
• Scofield666 / MBSSL
  ☆23Updated last year
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆62Updated last year
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆11Updated 6 months ago
• ysh-1998 / LRD
  The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model
  ☆30Updated 6 months ago
• Zhang-xiaokun / DIMO
  SIGIR 2024, Session-based recommendation, Co-occurrence patterns of ID, Fine-grained preferences of Modality, Disentanglement learning.
  ☆17Updated 5 months ago
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆54Updated 2 years ago
• akaxlh / GNMR
  GNMR, ICDE 2021
  ☆14Updated last year
• zc-97 / DPT
  ☆21Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆60Updated 11 months ago
• sdu-zyx / GCL4SR
  ☆23Updated 2 years ago
• Ee1s / NirGNN
  The code of 'Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation', WWW-23
  ☆19Updated last year
• xhcdream / KCGN
  AAAI-2021
  ☆33Updated 4 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
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆44Updated 9 months ago
• tanatosuu / GDE
  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
  ☆32Updated last year
• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆25Updated 5 months ago
• JarenceSJ / ReviewGraph
  [SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation
  ☆23Updated 2 years ago
• THUDM / RecDCL
  RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)
  ☆23Updated 7 months ago