In this paper, we explore the use of affinity measures as features in graph neural networks, in particular measures arising from random walks, including effective resistance, hitting and commute times.

The complete list may be seen in Table 8. Here are a few general notes about these strings: 1. Based on their recommendations, we did the following: 1. zh, zh_Latn: This resulted in the special filters described below. URLs) the corpora were in languages different from the LangID predictions. This is mainly mis-rendered PDFs and may have practical applications for denoising, or for decoding such garbled PDFs.

Work done while DTN was at VinUniversity.

Data coming from different sensors often capture information related to common latent factors.

The optimization phase in deep learning consists in minimizing an objective function w.r.t. the set of

Fact-checking is considered crucial for limiting the impact of misinformation [Lewandowsky et al.,

Quantifying the amount, content and direction of communication between brain regions is key to understanding brain function.