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Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...

Real-world side effects of targeted therapies: High-throughput association studies leveraging the CancerLinq Discovery lung cancer database. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...

I work with graphs and subgraphs that can be interrupted. When I update the state of the parent graph after interrupting a node in the subgraph, two issues occur: The parent graph’s state doesn’t ...

Software maintenance is an integral part of the software development lifecycle, where developers frequently revisit existing codebases to fix bugs, implement new features, and optimize performance. A ...

Graphs of exponential functions and logarithmic functions provide a visual insight into their properties, such as growth, decay, and the inverse relationship between them. Graphs of exponential ...

The data management landscape is undergoing a serious transformation. While traditional relational databases have been the “go-to” data storage tool for some time, their limitations in handling ...

In a paper published in the journal Big Data and Cognitive Computing, researchers introduced the Laplacian correlation graph (LOG) concept for stock trend prediction, explicitly modeling correlations ...