4 citations · 12 across the 11 of their papers we have counts for
5 papers · 1 filter
Unraveling Low-Dimensional Network Dynamics: A Fusion of Sparse Identification and Proper Orthogonal Decomposition
Rui Luo
This study addresses the challenge of predicting network dynamics, such as forecasting disease spread in social networks or estimating species populations in predator-prey networks…
Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistics
Rui Luo, Vikram Krishnamurthy
This paper proposes a new approach for change point detection in multivariate Hawkes processes using Fréchet statistic of a network. The method splits the point process into overla…
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution
Rui Luo, Vikram Krishnamurthy
This study presents a novel deep learning method, called GATv2-GCN, for predicting player performance in sports. To construct a dynamic player interaction graph, we leverage player…
Fréchet Statistics Based Change Point Detection in Dynamic Social Networks
Rui Luo, Vikram Krishnamurthy
This paper proposes a method to detect change points in dynamic social networks using Fréchet statistics. We address two main questions: (1) what metric can quantify the distances…
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
We propose a new way to measure inequalities such as the glass ceiling effect in attributed networks. Existing measures typically rely solely on node degree distribution or degree…