472 citations · 776 across the 24 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
Turing Number: How Far Are You to A. M. Turing Award?
Feng Xia, Jiaying Liu, Jing Ren +2
The ACM A.M. Turing Award is commonly acknowledged as the highest distinction in the realm of computer science. Since 1960s, it has been awarded to computer scientists who made out…
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun, Lei Wang, Bo Xu +3
Network representation learning (NRL) is an effective graph analytics technique and promotes users to deeply understand the hidden characteristics of graph data. It has been succes…
OFFER: A Motif Dimensional Framework for Network Representation Learning
Shuo Yu, Feng Xia, Jin Xu +2
Aiming at better representing multivariate relationships, this paper investigates a motif dimensional framework for higher-order graph learning. The graph learning effectiveness ca…
Data-driven Computational Social Science: A Survey
Jun Zhang, Wei Wang, Feng Xia +2
Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the amalgamation of multiple disci…
DINE: A Framework for Deep Incomplete Network Embedding
Ke Hou, Jiaying Liu, Yin Peng +3
Network representation learning (NRL) plays a vital role in a variety of tasks such as node classification and link prediction. It aims to learn low-dimensional vector representati…
Prediction Methods and Applications in the Science of Science: A Survey
Jie Hou, Hanxiao Pan, Teng Guo +3
Science of science has become a popular topic that attracts great attentions from the research community. The development of data analytics technologies and the readily available s…
Big Networks: A Survey
Hayat Dino Bedru, Shuo Yu, Xinru Xiao +4
A network is a typical expressive form of representing complex systems in terms of vertices and links, in which the pattern of interactions amongst components of the network is int…
MODEL: Motif-based Deep Feature Learning for Link Prediction
Lei Wang, Jing Ren, Bo Xu +3
Link prediction plays an important role in network analysis and applications. Recently, approaches for link prediction have evolved from traditional similarity-based algorithms int…