Results 11 to 20 of about 2,166 (199)
Quantifying the non-isomorphism of global urban road networks using GNNs and graph kernels [PDF]
Scientific ReportsA novel concept of quantifying graph non-isomorphism is introduced to measure structural differences between graphs, and thus overcoming the strict limitations of traditional graph isomorphism tests.
Linfang Tian +3 more
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Malware Detection by Control-Flow Graph Level Representation Learning With Graph Isomorphism Network
IEEE Access, 2022 With society’s increasing reliance on computer systems and network technology, the threat of malicious software grows more and more serious. In the field of information security, malware detection has been a key problem that academia and industry ...
Yun Gao +3 more
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Portable network resolving huge-graph isomorphism problem
Machine Learning: Science and TechnologyThe graph isomorphism, as a key task in graph data analysis, is of great significance for the understanding, feature extraction, and pattern recognition of graph data.
Xin An +3 more
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GINClus: RNA structural motif clustering using graph isomorphism network. [PDF]
NAR Genom BioinformAbstract Ribonucleic acid (RNA) structural motif identification is a crucial step for understanding RNA structure and functionality. Due to the complexity and variations of RNA 3D structures, identifying RNA structural motifs is challenging and time-consuming.
Khan NS, Rahaman MM, Zhang S.
europepmc +3 more sources
Online social network user performance prediction by graph neural networks
IJAIN (International Journal of Advances in Intelligent Informatics), 2022 Online social networks provide rich information that characterizes the user’s personality, his interests, hobbies, and reflects his current state. Users of social networks publish photos, posts, videos, audio, etc. every day. Online social networks (OSN)
Fail Gafarov +2 more
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GINopic: Topic Modeling with Graph Isomorphism Network
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)Topic modeling is a widely used approach for analyzing and exploring large document collections. Recent research efforts have incorporated pre-trained contextualized language models, such as BERT embeddings, into topic modeling.
Adhya, Suman, Sanyal, Debarshi Kumar
core +2 more sources
EnergiesAccurate and reliable wind speed prediction is conducive to improving the power generation efficiency of electrical systems. Due to the lack of adequate consideration of spatial feature extraction, the existing wind speed prediction models have certain ...
Hongshun Wu, Hui Chen
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MAGIN-GO: Protein function prediction based on dual graph neural networks and gene ontology structure. [PDF]
PLoS ONEProteins are fundamental to the execution of biological activities, and the accurate prediction of their functions is of paramount importance for protein research.
Runxin Li +6 more
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A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network
IEEE Transactions on CyberneticsDespite various measures across different engineering and social systems, network robustness remains crucial for resisting random faults and malicious attacks. In this study, robustness refers to the ability of a network to maintain its functionality after a part of the network has failed.
Chengpei Wu, Yang Lou, Junli Li
exaly +3 more sources
Directed Acyclic Graph-Based Datapath Synthesis Using Graph Isomorphism and Gate Reconfiguration
ChipsDatapath synthesis is a crucial step in synthesis flow and aims at globally minimizing an area by identifying shareable logic structures. This paper introduces a novel Directed Acyclic Graph (DAG)-based datapath synthesis method based on graph ...
Liuting Shang +4 more
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