Alternatives and similar repositories for RecGPT

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

• HKUDS / RCL
  [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
  ☆14Updated last year
• HKUDS / MixRec
  [WSDM'2025] "MixRec: Heterogeneous Graph Collaborative Filtering"
  ☆17Updated 6 months ago
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆49Updated last year
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆67Updated last year
• HKUDS / GFormer
  [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
  ☆72Updated last year
• HKUDS / SimRec
  [WWW'23] "SimRec: Graph-less Collaborative Filtering"
  ☆32Updated 2 years ago
• HKUDS / PromptMM
  [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
  ☆46Updated 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
• HKUDS / DGNN
  [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
  ☆21Updated 2 years ago
• LehengTHU / AlphaRec
  [ICLR 2025 Oral 🏆] The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"
  ☆84Updated 2 months ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆57Updated last year
• RUCAIBox / VQ-Rec
  [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".
  ☆78Updated 2 years ago
• HKUDS / RecDiff
  [CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
  ☆80Updated last month
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆61Updated 2 years ago
• WangXFng / RDRec
  [ACL 2024] RDRec: Rationale Distillation for LLM-based Recommendation
  ☆35Updated last month
• YangZhengyi98 / DROS
  ☆35Updated last year
• HKUDS / DiffGraph
  [WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
  ☆43Updated last month
• HKUDS / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆19Updated last year
• chengkai-liu / Mamba4Rec
  [RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
  ☆100Updated 3 months ago
• liuqidong07 / LLMEmb
  [AAAI'25 Oral] The official implementation code of LLMEmb
  ☆36Updated 4 months ago
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆62Updated last year
• HKUDS / SelfGNN
  [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
  ☆60Updated last year
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆13Updated 11 months ago
• lileipisces / POD
  CIKM'23, Prompt Distillation for Efficient LLM-based Recommendation
  ☆44Updated 5 months ago
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆28Updated 11 months ago
• YangZhengyi98 / RecInterpreter
  ☆23Updated last year
• HKUDS / GraphAug
  [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
  ☆22Updated 10 months ago
• TangJiakai / ReaRec
  ☆27Updated 2 weeks ago
• Hugo-Chinn / AlphaFuse
  [SIGIR 2025] implementation of AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
  ☆18Updated 3 months ago
• HKUDS / DiffKG
  [WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
  ☆113Updated 8 months ago