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Found 3 papers, 1 papers with code
GREED: A Neural Framework for Learning Graph Distance Functions
To elaborate, although GED is a metric, its neural approximations do not provide such a guarantee.
NeuroSED: Learning Subgraph Similarity via Graph Neural Networks
Subgraph edit distance (SED) is one of the most expressive measures of subgraph similarity.
Scheduling Resources for Executing a Partial Set of Jobs
In this paper, we consider the problem of choosing a minimum cost set of resources for executing a specified set of jobs.
Data Structures and Algorithms
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