Fledgling universities funded by kings and other leaders hired professors for their chemistry departments. Organic chemistry became a recognized discipline. These developments established an entirely ...
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Abstract: 3D scene graph generation (3DSGG), which involves classifying objects and predicates, is an emerging topic in 3D scene understanding. Recent studies leveraging graph neural networks (GNNs) ...
Abstract: The proliferation of Internet-of-Things (IoT) technologies in modern smart society enables massive data exchange for offering intelligent services. It becomes essential to ensure secure ...
This repository contains the official implementation of the paper "Boosting Graph Neural Networks via Adaptive Knowledge Distillation". This work proposes a novel knowledge distillation framework for ...
DGCPL is a novel dual graph distillation approach for concept prerequisite relation learning. [doi]. Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao , Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang. DGCPL ...
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