YuehuaZhu / PAUP
Official pyTorch implementation of Transformer-based PAUP model for sequential recommentation, SIGIR 2022
☆10Updated 2 years ago
Alternatives and similar repositories for PAUP:
Users that are interested in PAUP are comparing it to the libraries listed below
- The official implementation of InvRL☆11Updated 2 years ago
- ☆32Updated 6 months ago
- The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (AC…☆43Updated 11 months ago
- ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation☆20Updated last year
- ☆28Updated 10 months ago
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆54Updated last year
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆37Updated 2 years ago
- Pytorch Implementation for paper "Adversarial Graph Disentanglement"☆13Updated last year
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆32Updated 10 months ago
- [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…☆29Updated last year
- SIGIR 2024, Session-based recommendation, Co-occurrence patterns of ID, Fine-grained preferences of Modality, Disentanglement learning.☆17Updated 5 months ago
- [AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".☆33Updated 7 months ago
- ☆12Updated last month
- The code of AAAI'24 paper GLRec: Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations☆33Updated last year
- LightGT: A Light Graph Transformer for Multimedia Recommendation, SIGIR2023☆24Updated 3 months ago
- [SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation☆23Updated 2 years ago
- IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT☆31Updated 2 months ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆16Updated last year
- ☆11Updated last year
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆16Updated 2 years ago
- [WSDM 2023]Towards Universal Cross-Domain Recommendation☆20Updated 2 years ago
- [ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"☆65Updated 7 months ago
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆45Updated 9 months ago
- Multi-View Graph Convolutional Network for Multimedia Recommendation☆37Updated last year
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆58Updated last year
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆21Updated 3 years ago
- Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"☆28Updated 2 years ago
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆17Updated last year
- Intent Contrastive Learning for Sequential Recommendation (WWW'22)☆16Updated 2 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆30Updated 2 years ago