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"
  ☆64Updated 2 years ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆63Updated 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"
  ☆62Updated 2 years ago
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆32Updated last year
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆72Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆70Updated last year
• HKUDS / SelfGNN
  [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
  ☆69Updated last year
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆198Updated 2 years ago
• HKUDS / GFormer
  [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
  ☆72Updated 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 / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆21Updated 2 years ago
• HKUDS / HGCL
  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
  ☆125Updated last year
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆100Updated 2 years ago
• HKUDS / GraphAug
  [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
  ☆23Updated last year
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆14Updated last year
• HKUDS / DGNN
  [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
  ☆24Updated 2 years ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆46Updated last year
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆18Updated 2 years ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆18Updated 3 years ago
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆83Updated last year
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆70Updated 2 years ago
• tanatosuu / svd_gcn
  CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation
  ☆21Updated 3 years ago
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆35Updated last year
• tsinghua-fib-lab / MBGCN
  ☆31Updated 3 years ago
• tanatosuu / GDE
  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
  ☆34Updated 2 years ago
• HKUDS / RecDiff
  [CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
  ☆86Updated 7 months ago
• HKUDS / RCL
  [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
  ☆15Updated 2 years ago
• WxxShirley / CIKM2023DiRec
  Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
  ☆17Updated 2 years ago
• xizhu1022 / DA-GCN
  [ACM TOIS] Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs
  ☆13Updated last year