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 ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

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 ...

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 ...

As menopause becomes a reality for 1.1 billion women by 2025, it’s no longer a stage of life that can be quietly endured, especially in the workplace. From unpredictable hot flashes to sleepless ...

The call graph in python is not shown for constructor function. When a parents methods called in child doesn't reflect the call graph. version of doxygen I tried restructuring code and modifying ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...