The core decomposition of networks: Theory, algorithms and applications
The core decomposition of networks has attracted significant attention due to its numerous
applications in real-life problems. Simply stated, the core decomposition of a network …
applications in real-life problems. Simply stated, the core decomposition of a network …
Distance-generalized core decomposition
The k-core of a graph is defined as the maximal subgraph in which every vertex is
connected to at least k other vertices within that subgraph. In this work we introduce a …
connected to at least k other vertices within that subgraph. In this work we introduce a …
MGA: Momentum gradient attack on network
J Chen, Y Chen, H Zheng, S Shen, S Yu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The adversarial attack methods based on gradient information can adequately find the
perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness of …
perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness of …
Search task extraction using k-contour based recurrent deep graph clustering
Search engines must accurately predict the implicit intent of users to effectively guide their
online search experience and assist them in completing their tasks. Users create time …
online search experience and assist them in completing their tasks. Users create time …
Interplay between -core and community structure in complex networks
The organisation of a network in a maximal set of nodes having at least k neighbours within
the set, known as k-core decomposition, has been used for studying various phenomena. It …
the set, known as k-core decomposition, has been used for studying various phenomena. It …
Revisiting core maintenance for dynamic hypergraphs
Core maintenance for dynamic hypergraphs has been receiving an increasing attention.
However, existing works mainly focus on the insertion/deletion of hyperedges. This article …
However, existing works mainly focus on the insertion/deletion of hyperedges. This article …
DeGAN-Decomposition-Based Unified Anomaly Detection in Static Networks
Graph anomaly detection aims to identify anomalous occurrences in networks. However, this
is more challenging than the traditional anomaly detection problem because anomalies in …
is more challenging than the traditional anomaly detection problem because anomalies in …
Towards Efficient k-TriPeak Decomposition on Large Graphs
Analyzing the structure of real-world networks has attracted much attention over years and
cohesive subgraph models are commonly used to characterize the structure of a network …
cohesive subgraph models are commonly used to characterize the structure of a network …
Experimental analysis and evaluation of cohesive subgraph discovery
Retrieving cohesive subgraphs in networks is a fundamental problem in social network
analysis and graph data management. These subgraphs can be used for marketing …
analysis and graph data management. These subgraphs can be used for marketing …
OCSM: Finding overlap** cohesive subgraphs with minimum degree
Cohesive subgraph discovery in a network is one of the fundamental problems and
investigated for several decades. In this paper, we propose the Overlap** Cohesive …
investigated for several decades. In this paper, we propose the Overlap** Cohesive …