A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

Abstract: In recent years, superpixel-based graph convolutional networks (GCNs) have drawn increasing attention within the hyperspectral image (HSI) classification community. Due to the ...

With the rapid spread of digital content, doctored videos pose growing risks across media, security, and legal domains. A new ...

Levin admitted this note "is a little more graphic and chilling. The previous one was also pretty chilling, but the way this is described is more so." He also called it "really sophisticated," ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Add a description, image, and links to the temporal-graph-dilated-convolution topic page so that developers can more easily learn about it.

Abstract: An undirected weighted graph (UWG) is the fundamental data representation in various real applications. A graph convolution network is frequently utilized for representation learning to a ...

2022/09/18 Complex Temporal Question Answering on Knowledge Graphs Southwest Jiaotong University Code 2022/06/28 TempoQR: Temporal Question Reasoning over Knowledge Graphs University of Minnesota Code ...