activity
20202025
most citedGraph Learning: A Survey

472 citations · 621 across the 23 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.SI2022★ 1 cited

Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions

Shuo Yu, Feng Xia, Yuchen Sun +3

In the age of social computing, finding interesting network patterns or motifs is significant and critical for various areas such as decision intelligence, intrusion detection, med…

cs.SI2022★ 2 cited

Familiarity-based Collaborative Team Recognition in Academic Social Networks

Shuo Yu, Feng Xia, Chen Zhang +2

Collaborative teamwork is key to major scientific discoveries. However, the prevalence of collaboration among researchers makes team recognition increasingly challenging. Previous…

cs.SI2022★ 2 cited

CHIEF: Clustering with Higher-order Motifs in Big Networks

Feng Xia, Shuo Yu, Chengfei Liu +1

Clustering a group of vertices in networks facilitates applications across different domains, such as social computing and Internet of Things. However, challenges arises for cluste…

cs.LG2022

Graph Augmentation Learning

Shuo Yu, Huafei Huang, Minh N. Dao +1

Graph Augmentation Learning (GAL) provides outstanding solutions for graph learning in handling incomplete data, noise data, etc. Numerous GAL methods have been proposed for graph-…

cs.SI2022★ 2 cited

How to optimize an academic team when the outlier member is leaving?

Shuo Yu, Jiaying Liu, Feng Xia +2

An academic team is a highly-cohesive collaboration group of scholars, which has been recognized as an effective way to improve scientific output in terms of both quality and quant…

cs.SI2022★ 5 cited

Data-Driven Decision Making in COVID-19 Response: A Survey

Shuo Yu, Qing Qing, Chen Zhang +3

COVID-19 has spread all over the world, having an enormous effect on our daily life and work. In response to the epidemic, a lot of important decisions need to be taken to save com…