Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
Ethereum and XRP prices continued their downtrend on Thursday as concerns about geopolitics rose. XRP token dropped to $1.80, ...
The U.S. jobless claims have come in at 209,000, above estimates of 205,000 while Bitcoin remained largely unchanged on this ...
Abstract: Knowledge graphs (KGs) represent known entities and their relationships using triplets, but this method cannot represent relationships between facts, limiting their expressiveness. Recently, ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
You can probably remember at least one education choice you regret. You don't have to be lazy or naive to pick the wrong subject, just lacking in information about what you will actually have to study ...
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