Results 101 to 110 of about 4,929,609 (209)

Subnetwork inclusion and switching of multilevel Boolean networks preserve parameter graph structure and dynamics

Frontiers in Applied Mathematics and Statistics
This study addresses a problem of correspondence between dynamics of a parameterized system and the structure of interactions within that system. The structure of interactions is captured by a signed network.
William Duncan, Breschine Cummins, Tomáš Gedeon   +2 more
doaj   +1 more source

A Graph‐Based Machine Learning Framework to Assign Empirical Interaction Parameters for Novel Molecules

Journal of Computational Chemistry, Volume 47, Issue 24, September 15, 2026.
Quantum chemical methods of force field parameterization such as the Seminario method encountercompute limitations at large scales. We present a GNN framework that outperforms the Seminario method by 34% in reproducing infrared bond frequencies across prevalent functional groups, and is up to seven orders of magnitude faster on larger molecules ...
Yao Fu, Martin Stroet, Megan L. O'Mara
wiley   +1 more source

A Performance Comparison of Graph Neural Networks and Standard Machine Learning Methods for Illegal Bitcoin Transaction Detection Based on the Elliptic Dataset [PDF]

ITM Web of Conferences
Bitcoin allows users to complete transactions anonymously and operates without centralized management. Such inherent characteristics provide conditions for various illegal activities.
He Ruiqi
doaj   +1 more source

Graph Homomorphism Revisited for Graph Matching [PDF]

, 2010
In a variety of emerging applications one needs to decide whether a graph G matches another Gp, i.e., whether G has a topological structure similar to that of Gp. The traditional notions of graph homomorphism and isomorphism often fall short of capturing
Li, Jianzhong, Ma, Shuai, Fan, Wenfei; id_orcid, Wu, Yinghui, Wang, Hongzhi   +4 more
core  

Predicting treatment response in adolescents and young adults with major depressive episodes from fMRI using graph isomorphism network. [PDF]

Neuroimage Clin, 2023
Duan J, Li Y, Zhang X, Dong S, Zhao P, Liu J, Zheng J, Zhu R, Kong Y, Wang F.   +9 more
europepmc   +1 more source

Relaxations of Graph Isomorphism [PDF]

, 2017
We introduce a nonlocal game that captures and extends the notion of graph isomorphism. This game can be won in the classical case if and only if the two input graphs are isomorphic.
Samal, Robert, Mancinska, Laura, Varvitsiotis, Antonios, Roberson, David E., Atserias, Albert, Roberson, David, Severini, Simone, Varvitsiotis, Antonis   +7 more
core   +1 more source

Hyperledger Fabric Graph Isomorphism Network for Conflict Transactions Detection in Multi-Version Concurrency Control

IEEE Access
Multi-Version Concurrency Control (MVCC) is a critical mechanism in blockchain systems such as Hyperledger Fabric. MVCC is crucial for managing concurrent transactions ensuring integrity through versioning and timestamp techniques.
Fawaz Alzahrani, Mohd Yazid Idris, Mohd Fo'Ad Rohani, Rahmat Budiarto   +3 more
doaj   +1 more source

Fuzzy graphs and their applications in finding the best route, dominant node and influence index in a network under the hesitant bipolar-valued fuzzy environment

Complex & Intelligent Systems
This paper introduces the concept of hesitant bipolar-valued fuzzy graph (HBVFG), which captures the two opposing perspectives, namely the positive and negative opinions.
Jambi Ratna Raja, Jeong Gon Lee, Dhanraj Dhotre, Pravin Mane, Omprakash Sugdeo Rajankar, Antonios Kalampakas, Navin D. Jambhekar, D. G. Bhalke   +7 more
doaj   +1 more source

Polynomial-time algorithms for Subgraph Isomorphism in small graph classes of perfect graphs [PDF]

, 2016
Given two graphs, Subgraph Isomorphism is the problem of deciding whether the first graph (the base graph) contains a subgraph isomorphic to the second graph (the pattern graph).
Otachi, Yota, Uehara, Ryuhei, Konagaya, Matsuo   +2 more
core   +1 more source

Graph hybrid neural network integration for enhanced diabetic retinopathy detection in retinal image

Discover Artificial Intelligence
Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes that affects the retina. This study presents a hybrid graph neural network (GNN) architecture that combines a graph isomorphism network (GIN) with GraphSAGE to improve ...
S. Afzal, Biswambhar Rakshit, K. Somasundaram   +2 more
doaj   +1 more source