Alternatives and similar repositories for MultiCBR

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

• Xiaohao-Liu / CLHE
  The implementation of paper "Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction", WSDM'24.
  ☆17Updated last month
• georgeguo-cn / LGMRec
  [AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".
  ☆48Updated 8 months ago
• QinHsiu / ICSRec
  [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…
  ☆34Updated last year
• ysh-1998 / LRD
  The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model
  ☆40Updated 3 weeks ago
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆54Updated last year
• enoche / FREEDOM
  ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
  ☆34Updated 2 years ago
• THUDM / RecDCL
  RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)
  ☆28Updated last year
• wubinzzu / Multi-Behavior-Recommendation-Papers
  Multi-Behavior Recommendation-Papers
  ☆31Updated 6 months ago
• enoche / BM3
  Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23
  ☆61Updated 2 years ago
• WuXinglong-HIT / CLIPER
  ☆11Updated last year
• wangyu0627 / IHGCL
  [TKDE25] Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
  ☆13Updated 6 months ago
• Zhang-xiaokun / DIMO
  SIGIR 2024, Session-based recommendation, Co-occurrence patterns of ID, Fine-grained preferences of Modality, Disentanglement learning.
  ☆21Updated last year
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆61Updated 2 years ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆60Updated last year
• Liuwq-bit / LightGT
  [SIGIR 2023] LightGT: A Light Graph Transformer for Multimedia Recommendation
  ☆27Updated last year
• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆31Updated last year
• USTC-StarTeam / DR4SR
  🔥🔥🔥 KDD2024 Best Student Paper
  ☆63Updated 9 months ago
• WHUIR / DiffuRec
  ☆72Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆66Updated last year
• istarryn / DLLM2Rec
  ☆13Updated 8 months ago
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆192Updated 2 years ago
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆18Updated 2 years ago
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆14Updated last year
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆63Updated 2 years ago
• Polaris-JZ / DDRM
  ☆22Updated 6 months ago
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆49Updated last year
• liuqidong07 / LLMEmb
  [AAAI'25 Oral] The official implementation code of LLMEmb
  ☆48Updated 8 months ago
• tsinghua-fib-lab / MBGCN
  ☆31Updated 3 years ago
• HKUDS / DiffMM
  [ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"
  ☆88Updated last year
• HKUDS / MMSSL
  [WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
  ☆217Updated last year