Alternatives and similar repositories for WWW2023ConsRec:

Users that are interested in WWW2023ConsRec are comparing it to the libraries listed below

• FDUDSDE / WWW2023GroupRecBaselines
  Implementation of Representative Group Recommendation Models
  ☆17Updated 2 years ago
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆12Updated 8 months ago
• wujcan / SGL-Torch
  SGL PyTorch version
  ☆106Updated 3 years ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆58Updated last year
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆29Updated 8 months ago
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆60Updated last year
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 5 months ago
• cjx96 / C2DSR
  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation
  ☆36Updated 2 years ago
• enoche / BM3
  Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23
  ☆56Updated last year
• sdu-zyx / GCL4SR
  ☆23Updated 2 years ago
• DyGRec / TGSRec
  ☆54Updated 2 years ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆59Updated last year
• orion-orion / CDSRec
  🔨 跨域序列推荐（Cross-Domain Sequential Recommendation）的算法工具箱，旨在提供序列推荐、跨域推荐、跨域序列方法的baseline实现。目前本工具箱已包括TiSASRec、CoNet、PINet、MIFN这四种方法的实现。
  ☆22Updated last year
• RUCAIBox / NCL
  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
  ☆122Updated 2 years ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆62Updated last year
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆16Updated 2 years ago
• liufancs / IMP_GCN
  ☆44Updated 4 years ago
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆97Updated last year
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆50Updated last year
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆38Updated 3 years ago
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆183Updated last year
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆13Updated 8 months ago
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆64Updated last year
• huangtinglin / MixGCF
  MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
  ☆97Updated 2 years ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆67Updated 2 years ago
• yimutianyang / SIGIR2021-EGLN
  The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"
  ☆18Updated 3 years ago
• KingGugu / TiCoSeRec
  Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
  ☆61Updated 2 years ago
• RuihongQiu / DuoRec
  Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.
  ☆104Updated 3 years ago
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆57Updated 3 years ago
• WHUIR / DiffuRec
  ☆64Updated last year