Juan Casado Cordón, Professor of Physical Chemistry at the University of Malaga, considers graphene—an infinite layer of carbon atoms—as one of the greatest discoveries of the last 20 years ...

Currently, our Graph Schema defaults to a simple template. However, new users are often unfamiliar with graphs, making schema construction challenging. We can simplify this process (semi-automatically ...

NEW YORK, - President Donald Trump's first 100 days in office delivered the worst start for stocks since former President Richard Nixon's second term in 1973, stoked volatility across markets and ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using ...

Description of the bug: When specifying a relative path, like --experimental_execution_graph_log_path=graph.log, the resulting file (in this example, graph.log) ends up being created not in the pro ...

One person was killed Wednesday morning when the tractor that he was driving was hit by a semitractor-trailer on Route 40 in Whiteside County.

Article citations More>> Thekumparampil, K.K., Wang, C., Oh, S. and Li, J. (2018) Attention-Based Graph Neural Network for Semi-Supervised Learning. ArXiv: 1803.03735. has been cited by the following ...

Anomaly detection is an important task that improves the maturity and stability of a software during its development. System logs record rich information about the running states of the software and ...

You can find tons of “Basically Purple Teyvat Product” all over the place for the Genshin Impact “Graph Adversarial Technology Experiment Log” event.

To address the challenges above, we propose LGLog, a semi-supervised anomaly detection framework that is based on system logs. First, LGLog transforms log sequences into graphs and employs an ...