Identification of Young High-Functioning Autism Individuals Based on Functional Connectome Using Graph Isomorphism Network: A Pilot Study [PDF]
Brain Sciences, 2022 Accumulated studies have determined the changes in functional connectivity in autism spectrum disorder (ASD) and spurred the application of machine learning for classifying ASD.
Sihong Yang, Dezhi Jin, Jun Liu, Ye He
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DeepTGIN: a novel hybrid multimodal approach using transformers and graph isomorphism networks for protein-ligand binding affinity prediction [PDF]
Journal of CheminformaticsPredicting protein-ligand binding affinity is essential for understanding protein-ligand interactions and advancing drug discovery. Recent research has demonstrated the advantages of sequence-based models and graph-based models. In this study, we present
Guishen Wang +5 more
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MapEff: An Effective Graph Isomorphism Agorithm Based on the Discrete-Time Quantum Walk [PDF]
Entropy, 2019 Graph isomorphism is to determine whether two graphs have the same topological structure. It plays a significant role in areas of image matching, biochemistry, and information retrieval.
Kai Liu +5 more
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Prediction of circRNA–Disease Associations via Graph Isomorphism Transformer and Dual-Stream Neural Predictor [PDF]
BiomoleculesCircular RNAs (circRNAs) have attracted increasing attention for their roles in human diseases, making the prediction of circRNA–disease associations (CDAs) a critical research area for advancing disease diagnosis and treatment.
Hongchan Li +3 more
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Notion of Complex Spherical Dombi Fuzzy Graph and Its Application in Decision-Making Problems
IEEE Access, 2023 The complex spherical fuzzy graph (CSFG), which extends the concept of a spherical fuzzy graph (SFG), proves to be a more effective means of depicting relationships among diverse objects when these relationships are subject to uncertainty.
Ehsan Mehboob Ahmed Butt +4 more
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A Zero Knowledge Authentication Protocol Based on Novel Heuristic Algorithm of Dense Induced Subgraphs Isomorphism [PDF]
Engineering and Technology Journal, 2015 Graphs provide an useful mathematical tool for modeling various real world phenomena. Dense graphs arise in many places of interest, for instance the internet and social networks to name just two. The density of a graph should be a real number reflecting
N. M. G. Al-Saidi +2 more
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An Efficient Subgraph Isomorphism Solver for Large Graphs
IEEE Access, 2021 For a given pair of pattern and data graphs, the subgraph isomorphism finding problem locates all instances of the pattern graph into the data graph. For a given subgraph isomorphic image of the pattern graph in a data graph, the set of all ordered pairs
Zubair Ali Ansari +2 more
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A new method for isomorphism identification of planetary gear trains [PDF]
Mechanical Sciences, 2021 Planetary gear trains (PGTs) are widely used in machinery such as vehicles, pulley blocks, wrist watches, machine tools, and robots. During the process of structural synthesis of PGTs using graph theory, isomorphism identification of graphs is an ...
W. Sun +7 more
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HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases
Journal of Big Data, 2022 The big graph database provides strong modeling capabilities and efficient querying for complex applications. Subgraph isomorphism which finds exact matches of a query graph in the database efficiently, is a challenging problem.
Merve Asiler, Adnan Yazıcı, Roy George
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Continuous Latent Spaces Sampling for Graph Autoencoder
Applied Sciences, 2023 This paper proposes colaGAE, a self-supervised learning framework for graph-structured data. While graph autoencoders (GAEs) commonly use graph reconstruction as a pretext task, this simple approach often yields poor model performance.
Zhongyu Li +4 more
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