ksanjeevan / attentional_fm_pytorchLinks
PyTorch implementation of Attentional Factorization Machines
☆10Updated 6 years ago
Alternatives and similar repositories for attentional_fm_pytorch
Users that are interested in attentional_fm_pytorch are comparing it to the libraries listed below
Sorting:
- re-implementation of ConvMF (RecSys'16) in TensorFlow with even better performance☆10Updated 4 years ago
- 深度矩阵分解模型 与 带注意力的深度矩阵分解模型☆10Updated 7 years ago
- A toy implementation of Neural Graph Collaborative filtering☆87Updated 5 years ago
- Graph Neural Network based Social Recommendation Model. SIGIR2019.☆180Updated last year
- An implementation FGNN.☆50Updated 5 years ago
- [ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."☆45Updated last year
- The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"☆18Updated 3 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆49Updated 2 years ago
- This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)☆106Updated 5 years ago
- Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"☆33Updated 5 years ago
- This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)☆31Updated 5 years ago
- Attentive Group Recommendation☆134Updated 4 years ago
- This is our implementation of SAMN: Social Attentional Memory Network☆46Updated 6 years ago
- code for "Convolution Matrix Factorization for Document Context-Aware Reccomendation"☆8Updated 7 years ago
- Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"☆61Updated 4 years ago
- PyTorch Implemenation for Neural Graph Collaborative Filtering☆28Updated 2 years ago
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆127Updated 4 years ago
- ☆74Updated 5 years ago
- Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"☆127Updated 5 years ago
- ☆44Updated last year
- Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020☆116Updated last year
- ☆44Updated 4 years ago
- Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation☆45Updated 5 years ago
- implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2☆22Updated 7 years ago
- TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings☆21Updated 7 years ago
- BPAM: Recommendation Based on BP Neural Network with Attention Mechanism☆9Updated 5 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆83Updated last year
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆98Updated 3 years ago
- STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems☆109Updated 5 years ago
- This project is the source code for Multimodal Graph Attention Network(MGAT). The source code will be available on the acceptance of the …☆54Updated 4 years ago