The multi-criteria (MC) recommender system, which leverages MC rating
in...
Network alignment (NA) is the task of discovering node correspondences a...
In social networks, the discovery of community structures has received
c...
The vision of pervasive machine learning (ML) services can be realized b...
Considerable research attention has been paid to table detection by
deve...
Massive Internet of Things (IoT) networks have a wide range of applicati...
Aside from graph neural networks (GNNs) catching significant attention a...
Graphs are used widely to model complex systems, and detecting anomalies...
Network alignment (NA) is the task of discovering node correspondences a...
The discovery of community structures in social networks has gained
cons...
We introduce a data-driven anomaly detection framework using a manufactu...
We present a new adaptive resource optimization strategy that jointly
al...
Network alignment (NA) is the task of finding the correspondence of node...
In recent years, many recommender systems using network embedding (NE) s...
In real-world applications of influence maximization (IM), the network
s...
We study the problem of embedding edgeless nodes such as users who newly...
It has been insufficiently explored how to perform density-based cluster...
Most network data are collected from only partially observable networks ...
Giving or recommending appropriate content based on the quality of exper...
This paper comprehensively studies a content-centric mobile network base...
We study multi-stream transmission in the K × N × K channel with
interfe...
In this paper, we introduce a network-decomposed hierarchical cooperatio...
DBSCAN may not be sufficient when the input data type is heterogeneous i...
An imprecise region is referred to as a geographical area without a
clea...
A large-scale content-centric mobile ad hoc network employing
subpacketi...
The discovery of community structures in social networks has gained
sign...