A new framework called Falcon, developed by Unnikrishnan Cheramangalath, is revolutionizing graph analytics. This ...
Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.
Abstract: Graph convolutional neural networks can effectively process geometric data and thus have been successfully used in point cloud data representation. However, existing graph-based methods ...
Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...
A high school math team member lent his graphing calculator—a pricey TI-84 he relies on for contests and homework—to a teammate during practice. But when the teammate left with it, dodged messages, ...
Decrease the displayed range on the temperature graph, to only focus on the operating area. Being able to see from 0 degrees and up isn't super useful, in my opinion, and I would personally rather ...
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