Frontiers

Neuro-detection: Advancements in Pattern Detection and Segmentation Techniques in Neuroscience

Neuroscience is a rapidly advancing field that seeks to understand the complexities of the human mind and brain. One avenue ...
Cancer Research

Directed Acyclic Graphs in Oncology Research: Applications and Illustrated Example

1Collaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada. 2International Collaboration on Repair Discoveries ...
GitHub

Improve Cycle Detection #251126

When modules are loaded with cyclic dependencies, the cycle is broken up at loadtime at the first edge that would complete the cycle (the imported symbols of that edge are undefined when read). We ...
C&EN

A Self-Developed Fire Early Warning System Based on Gas Detection and Graph Convolution Calculation Method

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...
Scientific Research Publishing

Chen, J., Zhang, W., Ma, H. and Yang, S. (2023) Rumor Detection in Social Media Based on Multi-Hop Graphs and Differential Time Series. Mathematics, 11, Article 3461.

ABSTRACT: Currently, social platforms provide places for people not only to gather information but also to generate and propagate rumors. Consequently, rumor detection has become a major global task ...
GitHub

JIT: cycles in connection graph lead to non-minimal fix point retypings

area-CodeGen-coreclrCLR JIT compiler in src/coreclr/src/jit and related components such as SuperPMICLR JIT compiler in src/coreclr/src/jit and related components such as SuperPMI The root cause is ...
Frontiers

Both k-core percolation and directed graph analysis revealed succession and transition of voxels’ spatiotemporal progress on dynamic correlation resting-state fMRI

Introduction: Voxel hierarchy on dynamic brain graphs is produced by k-core percolation on functional dynamic amplitude correlation of resting-state fMRI. Methods: Directed graphs and their ...
IEEE

Directed Graph Neural Networks for Anomaly Detection of Smart Ponzi Schemes

Abstract: Ponzi schemes remain a significant challenge to financial security, particularly on blockchain platforms such as Ethereum, where the autonomy of smart contracts facilitates fraudulent ...
C&EN

Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein–Ligand Binding Affinity Prediction

Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States ...