activity
20192022
most citedGraph Learning: A Survey

472 citations · 776 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

7 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.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…

cs.LG2022★ 1 cited

Deep Graph Learning for Anomalous Citation Detection

Jiaying Liu, Feng Xia, Xu Feng +2

Anomaly detection is one of the most active research areas in various critical domains, such as healthcare, fintech, and public security. However, little attention has been paid to…

cs.DL2022★ 3 cited

Web of Scholars: A Scholar Knowledge Graph

Jiaying Liu, Jing Ren, Wenqing Zheng +3

In this work, we demonstrate a novel system, namely Web of Scholars, which integrates state-of-the-art mining techniques to search, mine, and visualize complex networks behind scho…

cs.DL2022★ 25 cited

The Gene of Scientific Success

Xiangjie Kong, Jun Zhang, Da Zhang +3

This paper elaborates how to identify and evaluate causal factors to improve scientific impact. Currently, analyzing scientific impact can be beneficial to various academic activit…