HKUDS / DGNN

Related projects: ⓘ

• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆51Updated 3 months ago
• HKUDS / GraphAug
  [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
  ☆16Updated this week
• HKUDS / RCL
  [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
  ☆13Updated last year
• HKUDS / SimRec
  [WWW'23] "SimRec: Graph-less Collaborative Filtering"
  ☆31Updated last year
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆23Updated last month
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆48Updated 6 months ago
• HKUDS / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆18Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆52Updated 6 months ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆55Updated 6 months ago
• WxxShirley / CIKM2023DiRec
  Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
  ☆16Updated 10 months ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆54Updated last year
• Liuwq-bit / LightGT
  LightGT: A Light Graph Transformer for Multimedia Recommendation, SIGIR2023
  ☆19Updated 4 months ago
• HKUDS / CL4ST
  [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
  ☆19Updated 3 months ago
• CRIPAC-DIG / MICRO
  ☆25Updated 4 months ago
• HKUDS / SelfGNN
  [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
  ☆38Updated 3 months ago
• HKUDS / GFormer
  [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
  ☆63Updated 3 months ago
• enoche / BM3
  Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23
  ☆49Updated last year
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆11Updated last month
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆10Updated last month
• SocialRecsys / SMIN
  ☆13Updated 2 years ago
• HKUDS / PromptMM
  [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
  ☆39Updated 6 months ago
• QinHsiu / ICSRec
  [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…
  ☆22Updated 8 months ago
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆18Updated last year
• zc-97 / DPT
  ☆19Updated last year
• Scofield666 / MBSSL
  ☆21Updated last year
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆49Updated last year
• georgeguo-cn / LGMRec
  [AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".
  ☆22Updated 2 months ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 10 months ago
• ZhengxiangShi / SelfContrastiveLearningRecSys
  [ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
  ☆20Updated 5 months ago
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆29Updated last year