Graph learning often boils down to uncovering the hidden structure of data, which has been applied in various fields such as biology, sociology, and environmental studies. However, distributed sensing ...

In this paper, we consider the problem of routing in disruption-tolerant-networking-based earth-observing satellite networks, which are characterized by a frequently changing topology and potentially ...

Heur-GED is an anytime algorithm for graph edit distance (GED) computation. It employs the expanded branch edit distance (BED+) as the heuristic estimation in the tree-based algorithm for the GED ...

Discrete Graph Structure Learning for Forecasting Multiple Time Series This is a PyTorch implementation of the paper "Discrete Graph Structure Learning for Forecasting Multiple Time Series", ICLR 2021 ...

Rasmussen Reports is the only nationally recognized public opinion firm that still tracks President Trump's job approval ratings on a daily basis. If your organization is interested in a weekly or ...

The 2025 Honda CB1000 Hornet SP and 2025 Suzuki GSX-S1000 represent the last of the old-school naked bikes, those of the ...

Missense variants in the O-GlcNAc transferase ( OGT) gene have recently been shown to segregate with a syndromic form of intellectual disability (OGT-ID), underscoring the importance of protein ...