THUDM / BatchSamplerLinks
The source code for BatchSampler that accepted in KDD'23
☆18Updated 2 years ago
Alternatives and similar repositories for BatchSampler
Users that are interested in BatchSampler are comparing it to the libraries listed below
Sorting:
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆30Updated 2 years ago
- Contrastive Learning with Model Augmentation☆18Updated 3 years ago
- The code for "Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation"☆44Updated 2 years ago
- ☆23Updated last year
- [RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models☆109Updated 4 months ago
- Multi-domain Recommendation with Adapter Tuning☆32Updated last year
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated last year
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago
- [ACL 2023] UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation☆26Updated last year
- [ICLR 2025 Oral 🏆] The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"☆88Updated 3 months ago
- This is the official implementation of the paper "Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Lea…☆19Updated 8 months ago
- CIKM'23, Prompt Distillation for Efficient LLM-based Recommendation☆47Updated 7 months ago
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆40Updated last year
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆63Updated last year
- Topology Distillation for Recommender System (KDD'21)☆13Updated 4 years ago
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆60Updated 2 years ago
- The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021☆14Updated 3 years ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 years ago
- the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)☆13Updated 2 years ago
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆36Updated last year
- Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation☆33Updated last year
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆27Updated 3 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 3 years ago
- ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation☆28Updated last year
- [NeurIPS'24 Spotlight] The official implementation code of LLM-ESR.☆34Updated last year
- The official implementation code of the CIKM 2024 paper "Sequence-level Semantic Representation Fusion for Recommender Systems".☆14Updated 5 months ago
- LightGT: A Light Graph Transformer for Multimedia Recommendation, SIGIR2023☆25Updated 9 months ago