HKUDS / RecDiffLinks
[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
☆85Updated 7 months ago
Alternatives and similar repositories for RecDiff
Users that are interested in RecDiff are comparing it to the libraries listed below
Sorting:
- [ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"☆93Updated last year
- [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"☆51Updated last year
- [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"☆69Updated last year
- [WSDM'2025] "MixRec: Heterogeneous Graph Collaborative Filtering"☆19Updated last year
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆72Updated last year
- [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"☆73Updated last year
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆49Updated last year
- [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"☆32Updated last year
- [WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"☆62Updated 7 months ago
- [WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"☆129Updated last month
- [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"☆15Updated 2 years ago
- [ACM CSUR] "A Comprehensive Survey of Self-Supervised Learning for Recommendation"☆122Updated last year
- [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
- [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering☆14Updated last year
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆62Updated last year
- [NeurIPS'24 Spotlight] The official implementation code of LLM-ESR.☆46Updated last year
- [ICLR 2025 Oral 🏆] The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"☆96Updated 8 months ago
- ☆159Updated last year
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆21Updated 2 years ago
- [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation☆14Updated last year
- 🔥🔥🔥 KDD2024 Best Student Paper☆66Updated 11 months ago
- [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"☆24Updated last year
- Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)☆39Updated 11 months ago
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆68Updated last year
- Official source code for AAAI 2025 paper: Augmenting Sequential Recommendation with Balanced Relevance and Diversity☆22Updated 9 months ago
- [AAAI'25 Oral] The official implementation code of LLMEmb☆50Updated 10 months ago
- [WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"☆221Updated last year
- Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System☆101Updated last year
- [KDD'2024] "HiGPT: Heterogenous Graph Language Models"☆141Updated last year