triandicAnt / GraphEmbeddingRecommendationSystemLinks
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
☆190Updated 7 years ago
Alternatives and similar repositories for GraphEmbeddingRecommendationSystem
Users that are interested in GraphEmbeddingRecommendationSystem are comparing it to the libraries listed below
Sorting:
- KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation☆188Updated 3 years ago
- Collaborative Memory Network for Recommendation Systems, SIGIR 2018☆179Updated 4 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆149Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 6 years ago
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago
- KDD17_FMG☆139Updated 5 years ago
- Adversarial Learning, Matrix Factorization, Recommendation☆217Updated 6 years ago
- Attentive Group Recommendation☆135Updated 4 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 7 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆129Updated 6 years ago
- Implementation of the "Deep Matrix Factorization Models for Recommender Systems"☆209Updated 7 years ago
- ☆83Updated 6 years ago
- Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"☆150Updated 6 years ago
- Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"☆127Updated 6 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆167Updated 4 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated 2 years ago
- Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".☆138Updated 6 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 5 years ago
- Code based in TensorFlow☆50Updated 5 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆52Updated 6 years ago
- ☆101Updated 5 years ago
- A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆76Updated 7 years ago
- 将deepwalk、node2vector和阿里的文章:Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 用代码实现☆55Updated 6 years ago
- TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018☆76Updated 6 years ago
- Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data☆54Updated 6 years ago
- DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System☆66Updated 3 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆73Updated 7 years ago
- Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks☆206Updated 6 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.☆203Updated 6 years ago