4 citations · 9 across the 12 of their papers we have counts for
14 papers
Efficient -core Computation and On-the-fly Query at Billion Scale with GPUs
Qingshuai Feng, Shunyang Li, Kai Wang +3
In bipartite graphs, -core is a widely used model for cohesive subgraph mining. Specifically, an -core is a maximal subgraph in which each vertex in the upper layer h…
Efficient Computation of Hyper-triangles on Hypergraphs
Haozhe Yin, Kai Wang, Wenjie Zhang +3
Hypergraphs, which use hyperedges to capture groupwise interactions among different entities, have gained increasing attention recently for their versatility in effectively modelin…
Motif Counting in Complex Networks: A Comprehensive Survey
Haozhe Yin, Kai Wang, Wenjie Zhang +3
Motif counting plays a crucial role in understanding the structural properties of networks. By computing motif frequencies, researchers can draw key insights into the structural pr…
ProbDiffFlow: An Efficient Learning-Free Framework for Probabilistic Single-Image Optical Flow Estimation
Mo Zhou, Jianwei Wang, Xuanmeng Zhang +5
This paper studies optical flow estimation, a critical task in motion analysis with applications in autonomous navigation, action recognition, and film production. Traditional opti…
Ensemble-based Deep Multilayer Community Search
Jianwei Wang, Yuehai Wang, Kai Wang +3
Multilayer graphs, consisting of multiple interconnected layers, are widely used to model diverse relationships in the real world. A community is a cohesive subgraph that offers va…
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing
Jianwei Wang, Kai Wang, Ying Zhang +3
Missing data imputation, which aims to impute the missing values in the raw datasets to achieve the completeness of datasets, is crucial for modern data-driven models like large la…