1.6k citations · 2.5k across the 36 of their papers we have counts for
11 papers · 1 filter
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme
Guanhao Hou, Qintian Guo, Fangyuan Zhang +2
{\em Personalized PageRank (PPR)} stands as a fundamental proximity measure in graph mining. Since computing an exact SSPPR query answer is prohibitive, most existing solutions tur…
Clenshaw Graph Neural Networks
Yuhe Guo, Zhewei Wei
Graph Convolutional Networks (GCNs), which use a message-passing paradigm with stacked convolution layers, are foundational methods for learning graph representations. Recent GCN m…
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling
Yang Zhang, Gengmo Zhou, Zhewei Wei +1
The prediction of protein-ligand binding affinity is of great significance for discovering lead compounds in drug research. Facing this challenging task, most existing prediction m…
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment
Jiajun Li, Zhewei Wei, Bolin Ding +3
In data mining, estimating the number of distinct values (NDV) is a fundamental problem with various applications. Existing methods for estimating NDV can be broadly classified int…
Instant Graph Neural Networks for Dynamic Graphs
Yanping Zheng, Hanzhi Wang, Zhewei Wei +2
Graph Neural Networks (GNNs) have been widely used for modeling graph-structured data. With the development of numerous GNN variants, recent years have witnessed groundbreaking res…
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Runlin Lei, Zhen Wang, Yaliang Li +2
Graph Neural Networks (GNNs) have received extensive research attention for their promising performance in graph machine learning. Despite their extraordinary predictive accuracy,…