Abstract: This paper studies a graph entropy measure to characterize the structural complexity of directed networks. Since the von Neumann entropy (VNE) has found applications in many tasks by ...
Abstract: Graph Neural Networks (GNNs) have aroused increasing research attention for their effectiveness on graph mining tasks. However, full-batch training methods based on stochastic gradient ...
Screenshot for my final render at 1920x1080 in 6 ms of the WDAS cloud dataset. Tested on RTX 3080 at stock clock speeds. I made this project as part of the DD2470 Advanced Topics in Visualization and ...
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