Physics can feel inscrutable to students; this lesson helps them understand a graphing problem by analyzing their own ...
Abstract: Semantic similarity is a special case of semantic relatedness. There are many methods available to design semantic similarity measures based on domain ontology. In this paper, a method to ...
Abstract: Graph Neural Networks (GNNs) have been used to solve complex problems of drug discovery, social media analysis, etc. Meanwhile, GPUs are becoming dominating accelerators to improve deep ...
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