kennethorq / SMORELinks
[WSDM 2025] Source code for "Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation".
☆34Updated last year
Alternatives and similar repositories for SMORE
Users that are interested in SMORE are comparing it to the libraries listed below
Sorting:
- ☆10Updated 2 years ago
- [AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".☆49Updated 9 months ago
- [ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"☆91Updated last year
- Official source code for AAAI 2025 paper: Augmenting Sequential Recommendation with Balanced Relevance and Diversity☆22Updated 8 months ago
- [SIGIR 2023] LightGT: A Light Graph Transformer for Multimedia Recommendation☆27Updated last year
- ☆15Updated last year
- Multi-View Graph Convolutional Network for Multimedia Recommendation☆49Updated 8 months ago
- The source code is for the paper: “Plug-in Diffusion Model for Sequential Recommendation” accepted in AAAI 2024 by Haokai Ma, Ruobing Xie…☆30Updated last year
- ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation☆34Updated 2 years ago
- [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…☆35Updated last year
- ☆36Updated last year
- [NeurIPS 2023] The implementation of paper "Empowering Collaborative Filtering Generalization via Principled Adversarial Contrastive Loss…☆20Updated last year
- ☆76Updated last year
- [ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"☆21Updated last year
- [CIKM'23] The official implementation code of DiffuASR.☆41Updated last year
- [AAAI'25] MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation☆35Updated 2 months ago
- [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"☆67Updated last year
- [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation☆14Updated last year
- [WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"☆60Updated 6 months ago
- [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering☆14Updated last year
- PMMRec: Multi-Modality is All You Need for Transferable Recommender Systems☆21Updated 2 years ago
- Efficient Multimodal Foundation Model Adaptation for Recommendation☆45Updated 2 months ago
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆31Updated 2 years ago
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆61Updated 2 years ago
- Official code for paper "Attention Calibration for Transformer-based Sequential Recommendation"☆17Updated 2 years ago
- [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"☆72Updated last year
- Missing Modality Generation for Recommendaton☆32Updated 8 months ago
- ☆31Updated last year
- [WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"☆129Updated last month
- [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"☆49Updated last year