Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures

Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures

Graph summarization is the problem of producing smaller graph representations of an input graph dataset, in such a way that the smaller compressed graphs capture relevant structural information for downstream tasks. One of the recent graph summarization methods formulates an optimal transport-based...

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Bibliographic Details
Main Authors: Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Graph classification
monotonicity
optimal transport
Shannon mutual information
supervised graph summarization
Online Access:https://ieeexplore.ieee.org/document/10210378/

Internet

https://ieeexplore.ieee.org/document/10210378/

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