Personalized recommendation relies on user historical behaviors to provi...
Multivariate time series anomaly detection (MTAD) plays a vital role in ...
As information filtering services, recommender systems have extremely
en...
Automated multi-label chest X-rays (CXR) image classification has achiev...
With the explosive growth of artificial intelligence (AI) and big data, ...
Recently, Graph Neural Networks (GNNs) achieve remarkable success in
Rec...
Quantum theory has shown its superiority in enhancing machine learning.
...
Anomaly analytics is a popular and vital task in various research contex...
Despite high global prevalence of hepatic steatosis, no automated diagno...
The click behavior is the most widely-used user positive feedback in
rec...
Clustering a group of vertices in networks facilitates applications acro...
Graph Augmentation Learning (GAL) provides outstanding solutions for gra...
COVID-19 has spread all over the world, having an enormous effect on our...
In this work, we demonstrate a novel system, namely Web of Scholars, whi...
Graph learning substantially contributes to solving artificial intellige...
Poor sleep habits may cause serious problems of mind and body, and it is...
Traffic flow prediction is an integral part of an intelligent transporta...
This paper elaborates how to identify and evaluate causal factors to imp...
With the explosive growth of new graduates with research degrees every y...
Anomaly detection is a popular and vital task in various research contex...
The Corona Virus Disease 2019 (COVID-19) belongs to human coronaviruses
...
Sentence completion (SC) questions present a sentence with one or more b...
Metaphor is widely used in human communication. The cohort of scholars
s...
The ACM A.M. Turing Award is commonly acknowledged as the highest distin...
Features representation leverages the great power in network analysis ta...
Aiming at better representing multivariate relationships, this paper
inv...
Advisor-advisee relationship is important in academic networks due to it...
Quantifying success in science plays a key role in guiding funding
alloc...
Globally, recommendation services have become important due to the fact ...
Scholarly article impact reflects the significance of academic output
re...
Quantifying the impact of a scholarly paper is of great significance, ye...
Quantifying the impact of scientific papers objectively is crucial for
r...
Multivariate relations are general in various types of networks, such as...
With prosperity of applications on smartphones, energy saving for smartp...
Mobile devices have become a popular tool for ubiquitous learning in rec...
Opportunistic networks (OppNets) are modern types of intermittently conn...
This research addresses recommending presentation sessions at smart
conf...
Ad-hoc Social Network (ASNET), which explores social connectivity betwee...
Socially aware networking (SAN) exploits social characteristics of mobil...
Traditional ad-hoc network packet scheduling schemes cannot fulfill the
...
Reliable social connectivity and transmission of data for popular nodes ...
Socially-aware networking is an emerging paradigm for intermittently
con...
Scientific article recommender systems are playing an increasingly impor...
As a result of the importance of academic collaboration at smart confere...
The performance of data delivery in wireless relay networks (WRNs), such...
Science of science has become a popular topic that attracts great attent...
A random walk is known as a random process which describes a path includ...
A network is a typical expressive form of representing complex systems i...
Modern science is dominated by scientific productions from teams. A rece...
Modern science is dominated by scientific productions from teams. Large ...