Alternatives and similar repositories for Multi-Behavior-Recommendation-Papers

Users that are interested in Multi-Behavior-Recommendation-Papers are comparing it to the libraries listed below

• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆59Updated 2 years ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆61Updated 2 years ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆57Updated last year
• QinHsiu / ICSRec
  [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…
  ☆31Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆62Updated last year
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆67Updated 2 years ago
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆40Updated 3 years ago
• tsinghua-fib-lab / MBGCN
  ☆31Updated 3 years ago
• cjx96 / C2DSR
  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation
  ☆36Updated 2 years ago
• zc-97 / DPT
  ☆21Updated 2 years ago
• Scofield666 / MBSSL
  ☆25Updated 2 years ago
• RUCAIBox / NCL
  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
  ☆123Updated 2 years ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 9 months ago
• georgeguo-cn / LGMRec
  [AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".
  ☆40Updated 4 months ago
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆183Updated 2 years ago
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆50Updated last year
• abis330 / DSSRec
  Disentangled Self-Supervision in Sequential Recommenders
  ☆31Updated 3 years ago
• hulkima / Tri-CDR
  The source code is for the paper: “Triple Sequence Learning for Cross-domain Recommendation” accepted in TOIS by Haokai Ma, Ruobing Xie, …
  ☆14Updated last year
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆98Updated last year
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆77Updated last year
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆48Updated last year
• HKUDS / MMSSL
  [WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
  ☆205Updated last year
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆34Updated 11 months ago
• ysh-1998 / LRD
  The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model
  ☆38Updated last year
• demonph10 / MGCN
  Multi-View Graph Convolutional Network for Multimedia Recommendation
  ☆44Updated 3 months ago
• wujcan / SGL-Torch
  SGL PyTorch version
  ☆109Updated 3 years ago
• Zhang-xiaokun / DIMO
  SIGIR 2024, Session-based recommendation, Co-occurrence patterns of ID, Fine-grained preferences of Modality, Disentanglement learning.
  ☆18Updated 10 months ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆68Updated 2 years ago
• yuh-yang / KGCL-SIGIR22
  [SIGIR'22] Knowledge Graph Contrastive Learning for Recommendation
  ☆118Updated last year
• cjx96 / UniCDR
  [WSDM 2023]Towards Universal Cross-Domain Recommendation
  ☆22Updated 2 years ago