HKUDS / SelfGNN

Related projects ⓘ

Alternatives and complementary repositories for SelfGNN

• HKUDS / GFormer
  [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
  ☆70Updated 5 months ago
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆53Updated 5 months ago
• HKUDS / GraphAug
  [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
  ☆19Updated 2 months ago
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆49Updated 8 months ago
• HKUDS / RecDiff
  [CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
  ☆67Updated last month
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆26Updated 3 months ago
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆56Updated 8 months ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆58Updated last year
• HKUDS / CL4ST
  [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
  ☆21Updated 5 months ago
• HKUDS / DGNN
  [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
  ☆19Updated last year
• HKUDS / DiffKG
  [WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
  ☆86Updated 3 weeks ago
• HKUDS / PromptMM
  [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
  ☆41Updated 8 months ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆58Updated 8 months ago
• HKUDS / RCL
  [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
  ☆15Updated last year
• HKUDS / DiffMM
  [ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"
  ☆54Updated 4 months ago
• HKUDS / HGCL
  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
  ☆96Updated 2 weeks ago
• HKUDS / KGRec
  [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
  ☆62Updated 5 months ago
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆12Updated 3 months ago
• HKUDS / SimRec
  [WWW'23] "SimRec: Graph-less Collaborative Filtering"
  ☆33Updated last year
• StupidThree / SIGformer
  ☆10Updated 2 months ago
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆92Updated last year
• HKUDS / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆20Updated last year
• USTC-StarTeam / DR4SR
  ☆22Updated last month
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆178Updated last year
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆11Updated 3 months ago
• HKUDS / Awesome-SSLRec-Papers
  A Comprehensive Survey of Self-Supervised Learning for Recommendation
  ☆106Updated 2 months ago
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆61Updated last year
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆48Updated 3 weeks ago
• HKUDS / STExplainer
  [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
  ☆46Updated 5 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…
  ☆27Updated last year