2.4k citations · 2.6k across the 5 of their papers we have counts for
5 papers
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks
Shixuan Liu, Changjun Fan, Kewei Cheng +4
Heterogeneous Information Networks (HINs) are information networks with multiple types of nodes and edges. The concept of meta-path, i.e., a sequence of entity types and relation t…
Neural Compositional Rule Learning for Knowledge Graph Reasoning
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
Learning logical rules is critical to improving reasoning in KGs. This is due to their ability to provide logical and interpretable explanations when used for predictions, as well…
PGE: Robust Product Graph Embedding Learning for Error Detection
Kewei Cheng, Xian Li, Yifan Ethan Xu +2
Although product graphs (PGs) have gained increasing attentions in recent years for their successful applications in product search and recommendations, the extensive power of PGs…
SecureBoost: A Lossless Federated Learning Framework
Kewei Cheng, Tao Fan, Yilun Jin +4
The protection of user privacy is an important concern in machine learning, as evidenced by the rolling out of the General Data Protection Regulation (GDPR) in the European Union (…
Feature Selection: A Data Perspective
Jundong Li, Kewei Cheng, Suhang Wang +4
Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for various data mining and…