Wenhui-Yu / LCFN
Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Exploring Simple and Powerful Low-pass Graph Convolutional Network for Recommendation. 3. Self-propagation Graph Neural Network for Recommendation (TKDE).
☆77Updated last year
Alternatives and similar repositories for LCFN:
Users that are interested in LCFN are comparing it to the libraries listed below
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆137Updated 4 years ago
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆97Updated 2 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆58Updated 4 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆82Updated 9 months ago
- ☆82Updated 5 years ago
- This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)☆67Updated 4 years ago
- ☆32Updated 4 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Updated 2 years ago
- ☆67Updated 4 years ago
- ☆172Updated 2 years ago
- Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"☆61Updated 3 years ago
- An Efficient and Effective Framework for Session-based Social Recommendation☆33Updated 2 years ago
- The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)☆60Updated 2 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆46Updated last year
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation☆67Updated 2 years ago
- ☆53Updated 2 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆33Updated 3 years ago
- Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020☆110Updated last year
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆152Updated 8 months ago
- Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".☆84Updated 2 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆43Updated 10 months ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆50Updated 3 years ago
- An Efficient and Unified Benchmark for GNN-based Recommendation.☆79Updated last year
- ☆25Updated 4 years ago
- ☆43Updated 3 years ago
- Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'☆167Updated last year
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆100Updated last year
- ☆34Updated 4 years ago
- A reimplementation of SRGNN.☆49Updated 3 years ago