retagnn / RetaGNNLinks
☆32Updated 5 years ago
Alternatives and similar repositories for RetaGNN
Users that are interested in RetaGNN are comparing it to the libraries listed below
Sorting:
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆97Updated 3 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆59Updated 5 years ago
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆142Updated 5 years ago
- Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'☆172Updated 2 years ago
- ☆70Updated 5 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆84Updated 3 years ago
- ☆176Updated 3 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Updated 3 years ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆46Updated last year
- [ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."☆45Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆77Updated 4 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆61Updated 3 years ago
- Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".☆85Updated 3 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆157Updated last year
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆84Updated last year
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation☆68Updated 3 years ago
- This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)☆73Updated 5 years ago
- Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback☆31Updated 4 years ago
- https://github.com/JiachengLi1995/TiSASRec in PyTorch☆104Updated 9 months ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆124Updated 3 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 4 years ago
- ☆33Updated 4 years ago
- Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"☆61Updated 4 years ago
- Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020☆114Updated 2 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆116Updated 4 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆33Updated 4 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 3 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".☆129Updated 4 years ago