Alternatives and similar repositories for ImRec

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

• RUCAIBox / RecBole-GNN
  Efficient and extensible GNNs enhanced recommender library based on RecBole.
  ☆184Updated 2 years ago
• RUCAIBox / RecBole-CDR
  This is a library built upon RecBole for cross-domain recommendation algorithms
  ☆109Updated last year
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆61Updated 2 years ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆70Updated 3 years ago
• RUCAIBox / NCL
  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
  ☆126Updated 3 years ago
• wujcan / SGL-Torch
  SGL PyTorch version
  ☆111Updated 3 years ago
• RuihongQiu / DuoRec
  Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.
  ☆115Updated 3 years ago
• YangLiangwei / DGRec
  ☆43Updated 2 years ago
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆61Updated 3 years ago
• tsinghua-fib-lab / MBGCN
  ☆31Updated 3 years ago
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆42Updated 3 years ago
• DyGRec / TGSRec
  ☆57Updated 3 years ago
• pmixer / TiSASRec.pytorch
  https://github.com/JiachengLi1995/TiSASRec in PyTorch
  ☆100Updated 7 months ago
• sdu-zyx / GCL4SR
  ☆24Updated 3 years ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆46Updated last year
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆59Updated last year
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆54Updated last year
• YChen1993 / CoSeRec
  Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
  ☆84Updated 3 years ago
• salesforce / ICLRec
  ☆114Updated 6 months ago
• CRIPAC-DIG / DGSR
  [TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
  ☆67Updated last year
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆68Updated 2 years ago
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆191Updated 2 years ago
• tsinghua-fib-lab / SIGIR21-SURGE
  Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".
  ☆86Updated 3 years ago
• YiyanXu / DiffRec
  Diffusion Recommender Model
  ☆234Updated last year
• SpaceLearner / SessionRec-pytorch
  Session-based Recommendation
  ☆65Updated last year
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆63Updated 2 years ago
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆100Updated 2 years ago
• guocheng2025 / Sequential-Recommendation-Datasets
  Download and preprocess popular sequential recommendation datasets
  ☆215Updated 2 years ago
• KingGugu / TiCoSeRec
  Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
  ☆65Updated 6 months ago
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆33Updated last year