Jul 9, 2019 · Abstract:The goal of the LEDA project was to build an easy-to-use and extendable library of correct and efficient data structures, graph ...
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An Efficient Implementation of Edmonds' Algorithm for Maximum Matching on Graphs · Mathematics, Computer Science. JACM · 1976.
The goal of the LEDA project was to build an easy-to-use and extendable library of correct and efficient data structures, graph algorithms and geometric ...
The goal of the LEDA project was to build an easy-to-use and extendable library of correct and efficient data structures, graph algorithms and geometric ...
When you design your next algorithm, make it certifying. When you implement your next algorithm, also implement a checker. Trustworthy Graph Algorithms. 17 ...
Consequently, trustworthy GNNs in various aspects are emerging to prevent the harm from GNN models and increase the users' trust in GNNs. In this paper, we give ...
May 20, 2022 · We give a comprehensive review of existing trustworthy GNNs in the computational perspectives of privacy, robustness, fairness and Explainability and discuss ...
Jul 9, 2019 · Specifically, we report on an ongoing and largely finished verification of the blossom-shrinking algorithm for maximum cardinality matching.
Trustworthy Graph Algorithms (Invited Paper). Mohammad Abdulaziz, Kurt Mehlhorn, Tobias Nipkow. Informatics. Research output: Chapter in Book/Report/Conference ...
This tutorial mainly covers the key achievements of trustworthy graph learning in recent years. Specifically, we will discuss three essential topics.