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Network Science

Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning

Graph generation is a crucial task in many fields, including network science and bioinformatics, as it enables the creation of synthetic graphs that mimic the properties of …

Preprint
Salvatore Romano, Marco Grassia, Giuseppe Mangioni
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Network Science

Learning fine-grained search space pruning and heuristics for combinatorial optimization

Combinatorial optimization problems arise in a wide range of applications from diverse domains. Many of these problems are NP-hard and designing efficient heuristics for them …

Conference
Juho Lauri, Sourav Dutta, Marco Grassia, Deepak Ajwani
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Network Science

Learning Multi-Stage Sparsification for Maximum Clique Enumeration

We propose a multi-stage learning approach for pruning the search space of maximum clique enumeration, a fundamental computationally difficult problem arising in various network …

Conference
Marco Grassia, Juho Lauri, Sourav Dutta, Deepak Ajwani
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