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Labeled Subgraph Entropy Kernel
In this paper, we propose a novel labeled subgraph entropy graph kernel, which performs well in structural similarity assessment.
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
To alleviate the challenges of building Knowledge Graphs (KG) from scratch, a more general task is to enrich a KG using triples from an open corpus, where the obtained triples contain noisy entities and relations.
Two-level Graph Neural Network
Moreover, we provide a mathematical analysis of the LPI problem which demonstrates that subgraph-level information is beneficial to overcoming the problems associated with LPI.
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