472 citations · 776 across the 24 of their papers we have counts for
25 papers
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…
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…
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…
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…
Deep Video Anomaly Detection: Opportunities and Challenges
Jing Ren, Feng Xia, Yemeng Liu +1
Anomaly detection is a popular and vital task in various research contexts, which has been studied for several decades. To ensure the safety of people's lives and assets, video sur…
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…
Graph Learning: A Survey
Feng Xia, Ke Sun, Shuo Yu +4
Graphs are widely used as a popular representation of the network structure of connected data. Graph data can be found in a broad spectrum of application domains such as social sys…
Graph Force Learning
Ke Sun, Jiaying Liu, Shuo Yu +2
Features representation leverages the great power in network analysis tasks. However, most features are discrete which poses tremendous challenges to effective use. Recently, incre…
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…
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining
Jiaying Liu, Feng Xia, Lei Wang +4
The advisor-advisee relationship represents direct knowledge heritage, and such relationship may not be readily available from academic libraries and search engines. This work aims…
Scientific Paper Recommendation: A Survey
Xiaomei Bai, Mengyang Wang, Ivan Lee +3
Globally, recommendation services have become important due to the fact that they support e-commerce applications and different research communities. Recommender systems have a lar…
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…
Quantifying Success in Science: An Overview
Xiaomei Bai, Hanxiao Pan, Jie Hou +3
Quantifying success in science plays a key role in guiding funding allocations, recruitment decisions, and rewards. Recently, a significant amount of progresses have been made towa…
An Overview on Evaluating and Predicting Scholarly Article Impact
Xiaomei Bai, Hui Liu, Fuli Zhang +4
Scholarly article impact reflects the significance of academic output recognised by academic peers, and it often plays a crucial role in assessing the scientific achievements of re…
Quantifying the Impact of Scholarly Papers Based on Higher-Order Weighted Citations
Xiaomei Bai, Fuli Zhang, Jie Hou +4
Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,59…
The Role of Positive and Negative Citations in Scientific Evaluation
Xiaomei Bai, Ivan Lee, Zhaolong Ning +2
Quantifying the impact of scientific papers objectively is crucial for research output assessment, which subsequently affects institution and country rankings, research funding all…
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…