Reynold Cheng

Detecting Data Errors with Statistical Constraints

2019 · arXiv (Cornell University)

A powerful approach to detecting erroneous data is to check which potentially dirty data records are incompatible with a user's domain knowledge. Previous approaches allow the user to specify domain knowledge in the form of …

Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs

2020

Given a directed graph G, the directed densest subgraph (DDS) problem refers to the finding of a subgraph from G, whose density is the highest among all the subgraphs of G. The DDS problem is …

Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management

2025

Graph Neural Network (GNN) is a successful marriage of graph data management and deep learning, leading to notable improvements in learning quality over graphs. This advancement highly impacts graph-based applications in many areas, including computer …