Live briefing
Everything about Power graph analysis
Analysis and representation of complex networks
In computational biology, power graph analysis is a method for the analysis and representation of complex networks. Power graph analysis is the computation, analysis and visual representation of a power graph from a graph (networks). Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Power graph analysisA 5-minute orientation
- Skim a recent paper: Scaling Graph Neural Networks for Large-Scale Power Systems Analysis: Empirical Laws for Emergent AbilitiesInfluential work since 2022
- Pick up a classic book: Power systems applications of graph theoryThe most-reprinted book on the subject
- Read the landmark paper: Unraveling Protein Networks with Power Graph AnalysisCited 120 times
- Go sideways: Biological networkA closely related topic
- Go sideways: Clique (graph theory)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Unraveling Protein Networks with Power Graph Analysis
Graph-Theoretic Analysis of Power Systems
A visibility graph power averaging aggregation operator: A methodology based on network analysis
Power flow analysis via typed graph neural networks
Graph-based Cyber Security Analysis of State Estimation in Smart Power Grid
feGRASS: Fast and Effective Graph Spectral Sparsification for Scalable Power Grid Analysis
Topology Modeling and Analysis of a Power Grid Network Using a Graph Database
Graph theory-based heat current analysis method for supercritical CO2 power generation system
🆕 Influential since 2022
Scaling Graph Neural Networks for Large-Scale Power Systems Analysis: Empirical Laws for Emergent Abilities
Graph-Based Interdependent Cyber-Physical Risk Analysis of Power Distribution Networks
Analysis of power asymmetry conflict based on fuzzy options graph models
Adaptive power flow analysis for power system operation based on graph deep learning
Graph-enhanced fault hierarchical perception for Dissolved Gas Analysis in power transformer
📚 Books worth reading
- 📕Power systems applications of graph theoryJizhong Zhu · 2009
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Biological network A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. In general…
- Clique (graph theory) In graph theory, a clique (/ˈkliːk/ or /ˈklɪk/) is a subset of vertices of an undirected graph such that every two distinct vertices in the clique are…
- Modular decomposition In graph theory, the modular decomposition is a decomposition of a graph into subsets of vertices called modules. A module is a generalization of a connected…
- Community structure In the study of complex networks, a network is said to have community structure if the nodes of the network can be easily grouped into (potentially overlapping)…
- Glossary of graph theory Look up Appendix:Glossary of graph theory in Wiktionary, the free dictionary. This is a glossary of graph theory. Graph theory is the study of graphs,…
- Maximum common edge subgraph Given two graphs G {\displaystyle G} and G ′ {\displaystyle G'} , the maximum common edge subgraph problem (or MCES problem) is the problem of finding…
- Clique percolation method The clique percolation method is a popular approach for analyzing the overlapping community structure of networks. The term network community (also called…
- Intersection number (graph theory) In the mathematical field of graph theory, the intersection number of a graph G = ( V , E ) {\displaystyle G=(V,E)} is the smallest number of elements…