Alternatives and similar repositories for AutoCF

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

• 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
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆62Updated last year
• HKUDS / SimRec
  [WWW'23] "SimRec: Graph-less Collaborative Filtering"
  ☆32Updated 2 years ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆59Updated 2 years ago
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆183Updated 2 years ago
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆28Updated 11 months ago
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆66Updated last year
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆98Updated last year
• HKUDS / DGNN
  [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
  ☆21Updated 2 years ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 8 months ago
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆67Updated 2 years ago
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆13Updated 11 months ago
• HKUDS / GFormer
  [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
  ☆72Updated last year
• HKUDS / SelfGNN
  [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
  ☆60Updated last year
• HKUDS / HGCL
  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
  ☆115Updated 8 months ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆17Updated 2 years ago
• HKUDS / GraphAug
  [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
  ☆22Updated 9 months ago
• akaxlh / SHT
  SHT, KDD 2022
  ☆52Updated 2 years ago
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆78Updated last year
• tanatosuu / svd_gcn
  CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation
  ☆20Updated 2 years ago
• KingGugu / TiCoSeRec
  Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
  ☆64Updated 2 months ago
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆17Updated 2 years ago
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆28Updated 2 years ago
• DyGRec / TGSRec
  ☆55Updated 2 years ago
• HKUDS / RCL
  [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
  ☆14Updated last year
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆14Updated 11 months ago
• deezer / sigir23-mojito
  Source code from the SIGIR 2023 article "Attention Mixtures for Time-Aware Sequential Recommendation" by V.A. Tran, G. Salha-Galvan, B. S…
  ☆29Updated 2 years ago
• HKUDS / PromptMM
  [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
  ☆46Updated last year
• cjx96 / C2DSR
  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation
  ☆36Updated 2 years ago