86 citations · 168 across the 6 of their papers we have counts for
6 papers
Graph Collaborative Reasoning
Hanxiong Chen, Yunqi Li, Shaoyun Shi +3
Graphs can represent relational information among entities and graph structures are widely used in many intelligent tasks such as search, recommendation, and question answering. Ho…
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing
Bin Hao, Min Zhang, Weizhi Ma +5
Data plays a vital role in machine learning studies. In the research of recommendation, both user behaviors and side information are helpful to model users. So, large-scale real sc…
Generate Natural Language Explanations for Recommendation
Hanxiong Chen, Xu Chen, Shaoyun Shi +1
Providing personalized explanations for recommendations can help users to understand the underlying insight of the recommendation results, which is helpful to the effectiveness, tr…
Neural Logic Reasoning
Shaoyun Shi, Hanxiong Chen, Weizhi Ma +3
Recent years have witnessed the success of deep neural networks in many research areas. The fundamental idea behind the design of most neural networks is to learn similarity patter…
Neural Collaborative Reasoning
Hanxiong Chen, Shaoyun Shi, Yunqi Li +1
Existing Collaborative Filtering (CF) methods are mostly designed based on the idea of matching, i.e., by learning user and item embeddings from data using shallow or deep models,…
Neural Logic Networks
Shaoyun Shi, Hanxiong Chen, Min Zhang +1
Recent years have witnessed the great success of deep neural networks in many research areas. The fundamental idea behind the design of most neural networks is to learn similarity…