graph.hpp → Header file with all Graph functionalities main.cpp → Sample test file using the Graph STL ...

But while raw data is useful, it can be difficult to use, especially when other DFS players have more than just the data at their fingertips. DFS simulation tools have become increasingly popular of ...

To effectively utilize rich multi-modal disease-related information, we introduce Modality Reward Representation Learning (MRRL), which dynamically constructs population graphs using an Affinity ...

Google CEO Sundar Pichai took to X during the weekend to crowdsource opinion whether AI platforms should use the open standard Model Context Protocol (MCP). “To MCP or not to MCP, that's the ...

Directed acyclic graphs are commonly used to illustrate and assess the hypothesised causal mechanisms in health and social research. These graphs can illuminate investigators’ assumptions and help ...

Abstract: In our recent work we have proposed a new class of graph signal expansions termed local graph Fourier frames (LGFFs). LGFFs have finite support in the vertex domain and hence entail ...

graph. The software is developed by RealRate, an AI rating agency aiming to re-invent the rating market by using AI, interpretability, and avoiding any conflict of interest. See www.realrate.ai. When ...

Motivated by advances in whole-brain imaging, we examined the performance of deep learning models on microscopic neural dynamics and resulting emergent behaviors using calcium imaging ... agnostic ...

Here we develop a framework to construct multi-modal brain graphs using concurrent EEG-fMRI data which are simultaneously collected during eyes open (EO) and eyes closed (EC) resting states. FMRI data ...