Abstract: Graph Neural Networks (GNNs) have gained momentum in graph representation learning and boosted the state of the art in a variety of areas, such as data mining (e.g., social network analysis ...
Abstract: A vast amount of textual and structural information is required for knowledge graph construction and its downstream tasks. However, most of the current knowledge graphs are incomplete due to ...
This project was originally contributed by Volkov Labs - thanks for all your great work! We have republished under the same plugin ID, keeping the community signature. This means you can simply update ...
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