papers

Publications (12)

cs.AI2025

Root Cause Analysis of Hydrogen Bond Separation in Spatio-Temporal Molecular Dynamics using Causal Models

Rahmat K. Adesunkanmi, Ashfaq Khokhar, Goce Trajcevski +1

Molecular dynamics simulations (MDS) face challenges, including resource-heavy computations and the need to manually scan outputs to detect "interesting events," such as the format…

cs.OH2024

Towards Mobility Data Science (Vision Paper)

Mohamed Mokbel, Mahmoud Sakr, Li Xiong +45

Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracki…

cs.SI2020

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact

Fan Zhou, Xovee Xu, Ce Li +3

Quantifying and predicting the long-term impact of scientific writings or individual scholars has important implications for many policy decisions, such as funding proposal evaluat…

cs.LG2019

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

Fan Zhou, Chengtai Cao, Kunpeng Zhang +3

Meta-learning has received a tremendous recent attention as a possible approach for mimicking human intelligence, i.e., acquiring new knowledge and skills with little or even no de…

cs.LG2020

Frosting Weights for Better Continual Training

Xiaofeng Zhu, Feng Liu, Goce Trajcevski +1

Training a neural network model can be a lifelong learning process and is a computationally intensive one. A severe adverse effect that may occur in deep neural network models is t…

cs.DB2025

A Universal Scheme for Dynamic Partitioned Shortest Path Index: Survey, Improvement, and Experiments

Mengxuan Zhang, Xinjie Zhou, Lei Li +4

Shortest Path (SP) computation is a fundamental operation in many real-life applications such as navigation on road networks, link analysis on social networks, etc. These networks…