Alternatives and similar repositories for DCCF

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

• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆62Updated 2 years ago
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆70Updated last year
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆64Updated 2 years ago
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆50Updated last year
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆32Updated last year
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆14Updated last year
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆83Updated last year
• LiuXiangYuan / MBA
  [SIGIR 2023] Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
  ☆15Updated 2 years ago
• tsinghua-fib-lab / MBGCN
  ☆31Updated 3 years ago
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆70Updated 2 years ago
• wubinzzu / Multi-Behavior-Recommendation-Papers
  Multi-Behavior Recommendation-Papers
  ☆32Updated 8 months ago
• RUCAIBox / NCL
  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
  ☆124Updated 3 years ago
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆18Updated 2 years ago
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆35Updated last year
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆198Updated 2 years ago
• QinHsiu / ICSRec
  [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…
  ☆37Updated 2 years ago
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆55Updated last year
• cjx96 / UniCDR
  [WSDM 2023]Towards Universal Cross-Domain Recommendation
  ☆28Updated 3 years ago
• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆31Updated last year
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆100Updated 2 years ago
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆72Updated last year
• Polaris-JZ / DDRM
  ☆22Updated 8 months ago
• ysh-1998 / LRD
  The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model
  ☆43Updated 2 months ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆70Updated 3 years ago
• mysbupt / CrossCBR
  ☆44Updated 2 years ago
• RUCAIBox / RecBole-CDR
  This is a library built upon RecBole for cross-domain recommendation algorithms
  ☆110Updated last year
• sdu-zyx / GCL4SR
  ☆24Updated 3 years ago
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆14Updated last year
• breezeyuner / DiffCDR
  ☆21Updated last year
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆29Updated 2 years ago