Results 171 to 180 of about 2,166 (199)

Prediction of circRNA-Disease Associations Based on Graph Isomorphism Networks and Graph Sampling Aggregation

IEEE Transactions on Computational Biology and Bioinformatics
The study of the relationship between circular RNA (circRNA) and disease is crucial for understanding the mechanisms underlying disease onset. However, relying on biological experiments to explore all potential connections between circRNAs and diseases is both time-consuming and labor-intensive. While various prediction methods have been proposed, they
Pengli Lu, Xusheng Liu, Fentang Gao
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A Unified Addressing Schema for Hexagonal and Honeycomb Networks with Isomorphic Cayley Graphs

First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06), 2006
As interconnection architectures, the regular six-degree hexagonal networks and the regular three-degree honeycomb networks have been widely investigated. For the lack of a proper addressing schema, some published routing algorithms are very complicated and the topological properties of some complex hexagonal and honeycomb related architectures are not
Mingxin He, Wenjun Xiao
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Parallel network organization algorithm for graph matching and subgraph isomorphism detection

Systems and Computers in Japan, 2000
Data representations using graphs are very flexible and are used in a wide variety of fields. The development of algorithms to perform basic processing at high speeds is vital for detecting subgraphs with important meaning from a graph set and for searching for subgraphs which match a given graph. However, as the number of graphs in question increases,
Keita Maehara, Kuniaki Uehara
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On the Identification of Isomorphic Graphs for Graph Neural Network using Multi-graph Approach

2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2022
Adrien Njanko, Danda B. Rawat
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DepthGraphNet: Circuit Graph Isomorphism Detection via Siamese-Graph Neural Networks

2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD), 2023
Fin Amin, Soumyadeep Chatterjee, Paul D. Franzon   +2 more
openaire   +1 more source

A knowledge-enhanced directed graph isomorphism network for multimodal sarcasm detection

The Electronic Library
Purpose Previous research mainly uses graph neural networks on syntactic dependency graphs, often neglecting emotional cues in sarcasm detection and failing to integrate image features for multimodal information effectively. To address these limitations, this study proposes a novel multimodal sarcasm detection model based on the directed graph ...
Yu Liu, Ziming Zeng
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Graph isomorphism network with weighted multi‐aggregators for building shape classification

Transactions in GIS
AbstractBuilding shape cognition is essential for tasks, such as map generalization, urban modeling, and building semantics and distribution pattern recognition. Traditional geometric and statistical methods rely on human‐defined shape indicators, and spectral‐based graph neural networks (GNNs) require Laplacian eigendecomposition, resulting in high ...
Ya Zhang, Jiping Liu, Yong Wang 0047, Yungang Cao, Shenghua Xu, An Luo   +5 more
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Graph Isomorphism Networks for Wireless Link Layer Anomaly Classification

2023 IEEE Wireless Communications and Networking Conference (WCNC), 2023
Blaz Bertalanic, Carolina Fortuna
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Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Giorgos Bouritsas, Stefanos Zafeiriou, Michael M Bronstein   +2 more
exaly  

Kernel entropy graph isomorphism network for graph classification

Pattern Recognition
Lixiang Xu, Wei Ge, Feiping Nie 0001, Enhong Chen, Bin Luo 0001   +4 more
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