Results 221 to 230 of about 101,745 (269)
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FASI: FPGA-friendly Subgraph Isomorphism on Massive Graphs

IEEE International Conference on Data Engineering, 2023
Subgraph isomorphism plays a significant role in many applications, such as social networks and bioinformatics. However, due to the inherent NP-hardness, it becomes challenging to compute matches efficiently in large real-world graphs.
Xunbin Su, Yinnian Lin, Lei Zou
semanticscholar   +1 more source

Hybrid Utilization of Subgraph Isomorphism and Relational Graph Convolutional Networks for Analog Functional Grouping Annotation

Workshop on Machine Learning for CAD, 2023
A hybrid method is proposed that combines the subgraph isomorphism algorithm VF2 and a relational graph convolutional network (RGCN) model for the recognition and classification of functional pairs in an analog circuit at the device level.
Zhengfeng Wu   +2 more
semanticscholar   +1 more source

Performance Analysis for Subgraph Isomorphism Based Embedding Service Function Chains

IEEE Transactions on Network Science and Engineering, 2023
Embedding Service Function Chains (SFCs) into the network represents scheduling network resources to provide user services. Embedding schemes are affected by many factors, such as the topology of Network Service Requests (NSRs), the demands of NSRs on ...
Shuya Zheng   +3 more
semanticscholar   +1 more source

HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property Graphs

The Web Conference, 2022
A code property graph (CPG) is a joint representation of syntax, control flows, and data flows of a target application. Recent studies have demonstrated the promising efficacy of leveraging CPGs for the identification of vulnerabilities.
Seongil Wi   +3 more
semanticscholar   +1 more source

Efficient Streaming Subgraph Isomorphism with Graph Neural Networks

Proceedings of the VLDB Endowment, 2021
Queries to detect isomorphic subgraphs are important in graph-based data management. While the problem of subgraph isomorphism search has received considerable attention for the static setting of a single query, or a batch thereof, existing approaches do
Chi Thang Duong   +5 more
semanticscholar   +1 more source

A Subgraph Isomorphism-based Attack Towards Social Networks

WI/IAT, 2021
It has been widely recognized that social network analysis of group relationships and behaviors come to thrive, so publicity social networks have gained growing attention from third-party individuals for academic researchers and advertisers.
Mengjiao Guo   +4 more
semanticscholar   +1 more source

Subgraph Isomorphism Building on A Hierarchical Query Graph

International Conference on Compute and Data Analysis, 2021
Subgraph isomorphism is an essential problem of graph theory. It has broad application on information retrieval in many research field, such as biology, chemistry, knowledge graph and social network.
Wenjie Zhang, W. K. Chan
semanticscholar   +1 more source

A Backtracking Algorithmic Toolbox for Solving the Subgraph Isomorphism Problem

Advances in Systems Analysis, Software Engineering, and High Performance Computing, 2021
The subgraph isomorphism problem asks whether a given graph is a subgraph of another graph. It is one of the most general NP-complete problems since many other problems (e.g., Hamiltonian cycle, clique, independent set, etc.) have a natural reduction to ...
J. Mihelic, Uros Cibej, Luka Fürst
semanticscholar   +1 more source

The GR3 Algorithm for Parallel Quantum Searching of Subgraph Isomorphism

International Conference on Software, Telecommunications and Computer Networks, 2021
The purpose of the research presented in this paper is finding the best execution times for searching subgraph isomorphisms. For this was created the GR3 Algorithm, its design consisting of a combination of Parallel Programming and Quantum Computing. The
Radu-Iulian Gheorghica
semanticscholar   +1 more source

Rapid Mining of Fast Ion Conductors via Subgraph Isomorphism Matching.

Journal of the American Chemical Society
The rapidly evolving field of inorganic solid-state electrolytes (ISSEs) has been driven in recent years by advances in data-mining techniques, which facilitates the high-throughput computational screening for candidate materials in the databases.
Wentao Zhang   +6 more
semanticscholar   +1 more source

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