Xiaokui Xiao · PaperMetrix

BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy

2019 · IEEE Transactions on Knowledge and Data Engineering

Personalized PageRank (PPR) is a classic measure of the relevance among different nodes in a graph, and has been applied in numerous systems, such as Twitter's Who-To-Follow and Pinterest's Related Pins. Existing work on PPR …

LATTE: Visual Construction of Smart Contracts

2020

Smart contracts enable developers to run instructions on blockchains (eg. Ethereum) and have broad range of real-world applications. Solidity is the most popular high-level smart contract programming language on Ethereum. Coding in such language, however, …

Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates

2022 · Digital Communications and Networks

This paper investigates the problem of collecting multidimensional data throughout time (i.e., longitudinal studies) for the fundamental task of frequency estimation under Local Differential Privacy (LDP) guarantees. Contrary to frequency estimation of a single attribute, …

GCON: Differentially Private Graph Convolutional Network via Objective Perturbation

2024 · arXiv (Cornell University)

Graph Convolutional Networks (GCNs) are a popular machine learning model with a wide range of applications in graph analytics, including healthcare, transportation, and finance. However, a GCN trained without privacy protection measures may memorize private …

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 …

Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy

2018 · IEEE Transactions on Knowledge and Data Engineering