gitgiter / ConvNCF-pytorch
ConvNCF (Convolutional Neural Collaborative Filtering) model implement in pytorch
☆13Updated 5 years ago
Alternatives and similar repositories for ConvNCF-pytorch:
Users that are interested in ConvNCF-pytorch are comparing it to the libraries listed below
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆136Updated last year
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆30Updated 2 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆46Updated last year
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆43Updated 11 months ago
- this is the code of MMCLR☆40Updated last year
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆24Updated 4 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆119Updated 2 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆77Updated last year
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆60Updated last year
- Source code for WWW 2021 paper "Dual Side Deep Context-aware Modulation for Social Recommendation"☆22Updated 3 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 4 years ago
- This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"☆28Updated last year
- ☆43Updated 4 years ago
- The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)☆60Updated 2 years ago
- Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".☆84Updated 2 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆35Updated 7 months ago
- MATN, SIGIR 2020☆21Updated 2 years ago
- ☆15Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆70Updated 3 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆97Updated 11 months ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆15Updated last year
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 4 months ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆100Updated 3 years ago
- ☆37Updated last year
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆57Updated 11 months ago
- Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"☆39Updated 2 years ago
- Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback☆28Updated 3 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆34Updated 3 years ago
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆54Updated last year
- A Pytorch implementation of GCMC model with Deep Graph Library (DGL). The user-item bipartite graph is built using dgl-heterogeneouss Gra…☆28Updated 3 years ago