hulkima / PDRecLinks
The source code is for the paper: “Plug-in Diffusion Model for Sequential Recommendation” accepted in AAAI 2024 by Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin and Zhanhui Kang.
☆28Updated last year
Alternatives and similar repositories for PDRec
Users that are interested in PDRec are comparing it to the libraries listed below
Sorting:
- [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…☆31Updated last year
- ☆70Updated last year
- [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation☆67Updated 2 years ago
- [CIKM'23] The official implementation code of DiffuASR.☆37Updated last year
- ☆21Updated 3 months ago
- Implementation of the paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation".☆26Updated 2 years ago
- [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering☆14Updated last year
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆61Updated 2 years ago
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆59Updated 2 years ago
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆57Updated last year
- Multi-Behavior Recommendation-Papers☆29Updated 4 months ago
- Source code from the SIGIR 2023 article "Attention Mixtures for Time-Aware Sequential Recommendation" by V.A. Tran, G. Salha-Galvan, B. S…☆29Updated 2 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 2 years ago
- HCCF, SIGIR 2022☆100Updated 2 years ago
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆65Updated 4 months ago
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆61Updated 2 years ago
- An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention, AAAI-24☆62Updated 10 months ago
- Beyond Co-occurrence: Multi-modal Session-based Recommendation☆28Updated 2 months ago
- The pytorch implementation of "Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation" (SIGIR'…☆23Updated 2 years ago
- Official implementation of "Graph Signal Diffusion Model for Collaborative Filtering" (SIGIR 2024)☆16Updated last year
- SIGIR 2024, Session-based recommendation, Co-occurrence patterns of ID, Fine-grained preferences of Modality, Disentanglement learning.☆19Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆40Updated 3 years ago
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆62Updated last year
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆123Updated 2 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆34Updated last year
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆17Updated 2 years ago
- RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)☆28Updated last year
- [SIGIR 2023 Oral] This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation".☆25Updated last year
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆186Updated 2 years ago