Alternatives and similar repositories for InvRL

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

• Liuwq-bit / LightGT
  [SIGIR 2023] LightGT: A Light Graph Transformer for Multimedia Recommendation
  ☆27Updated 11 months ago
• CRIPAC-DIG / MICRO
  ☆31Updated last year
• enoche / BM3
  Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23
  ☆61Updated 2 years ago
• enoche / FREEDOM
  ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
  ☆33Updated last year
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆53Updated last year
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆59Updated last year
• HKUDS / DiffMM
  [ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"
  ☆86Updated last year
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆49Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆64Updated last year
• demonph10 / MGCN
  Multi-View Graph Convolutional Network for Multimedia Recommendation
  ☆47Updated 6 months ago
• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆30Updated last year
• rlqja1107 / MELT
  Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…
  ☆36Updated last year
• Xiaohao-Liu / CLHE
  The implementation of paper "Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction", WSDM'24.
  ☆16Updated last year
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆28Updated last year
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆61Updated 2 years ago
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆69Updated last year
• WLiK / GLRec
  The code of AAAI'24 paper GLRec: Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
  ☆38Updated last year
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆61Updated 2 years ago
• anananan116 / MBGen
  [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"
  ☆44Updated last year
• wangyu0627 / IHGCL
  [TKDE25] Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
  ☆12Updated 5 months ago
• JarenceSJ / ReviewGraph
  [SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation
  ☆30Updated 3 years ago
• georgeguo-cn / LGMRec
  [AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".
  ☆45Updated 7 months ago
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆14Updated last year
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆17Updated 3 years ago
• liuqidong07 / DiffuASR
  [CIKM'23] The official implementation code of DiffuASR.
  ☆39Updated last year
• Jinfeng-Xu / MENTOR
  [AAAI'25] MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
  ☆30Updated last week
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆187Updated 2 years ago
• zc-97 / DPT
  ☆21Updated 2 years ago
• HKUDS / PromptMM
  [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
  ☆48Updated last year
• THUDM / RecDCL
  RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)
  ☆28Updated last year