Graph Theory and Network Embedding
This cluster focuses on the theoretical foundations and methodologies surrounding graph theory, particularly in the context of embedding techniques that enable better representation and analysis of complex networks. It encompasses research on connectivity metrics, modern graph structures, and advanced neural network approaches to analyze heterogeneous graphs.
26,104 papers
Parent topic: Graph Theory and Visualization
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Papers Over Time
Top Papers
2010 · 5,168 citations
1998 · 1,807 citations
2019 · 1,650 citations
2003 · 1,482 citations
2018 · 1,330 citations
2019 · 1,281 citations
2018 · 1,240 citations
2016 · 1,133 citations
2005 · 1,132 citations
1979 · 1,045 citations
1986 · 1,013 citations
1989 · 891 citations
1999 · 869 citations
2016 · 788 citations
2022 · 780 citations
2006 · 777 citations
1995 · 767 citations
1979 · 754 citations
1963 · 713 citations
2014 · 690 citations