Alternatives and similar repositories for MSL

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

• WANGBohaO-jpg / DR-GNN
  [WWW2024] The official code for paper "Distributionally Robust Graph-based Recommendation System"
  ☆30Updated last year
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆14Updated last year
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆28Updated last year
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆183Updated 2 years ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆68Updated 2 years ago
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆48Updated last year
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆13Updated last year
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆50Updated last year
• 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 / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆62Updated last year
• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆30Updated 11 months ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆57Updated last year
• WxxShirley / CIKM2023DiRec
  Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
  ☆17Updated last year
• ysh-1998 / LRD
  The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model
  ☆38Updated last year
• anananan116 / MBGen
  [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"
  ☆38Updated 11 months ago
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆66Updated last year
• USTC-StarTeam / DR4SR
  🔥🔥🔥 KDD2024 Best Student Paper
  ☆60Updated 5 months ago
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆34Updated 11 months ago
• wujcan / SGL-Torch
  SGL PyTorch version
  ☆109Updated 3 years ago
• Linxyhaha / DEALRec
  Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)
  ☆38Updated 5 months ago
• HonghuiBao2000 / LETTER
  Learnable Item Tokenization for Generative Recommendation (CIKM'24)
  ☆69Updated 7 months ago
• HKUDS / GraphAug
  [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
  ☆22Updated 10 months ago
• YangZhengyi98 / DROS
  ☆36Updated last year
• QwQ2000 / TheWebConf24-LTGNN-PyTorch
  TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
  ☆18Updated 2 weeks ago
• LehengTHU / AlphaRec
  [ICLR 2025 Oral 🏆] The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"
  ☆87Updated 2 months ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆17Updated 2 years ago
• tsinghua-fib-lab / MBGCN
  ☆31Updated 3 years ago
• HKUDS / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆19Updated last year
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆99Updated last year