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A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...
OUTPUT ## Small graph: 5 vertices, 5 edges Contact Graph: (5, 2) (5, 3) Infectable Graph: (5, 2) (2, 3) Path graph: (5, 2) (3, 3) src dst wt 1 0 2 10 2 3 0 9 distance vertex predecessor 0 9.0 3 0 1 10 ...
Mumbai 100/4 in 15.3 overs Strategic Time-out: Mumbai 97/3 in 15.0 overs 2nd wkt Partnership: 50 off 43 balls between R Sharma (20) A Rayudu (27) Mumbai 50/1 in 7.2 overs Strategic Time-out ...
This paper investigates the performance of the four supervised machine learning algorithms: logistic regression, support vector machine, decision tree, and random forest on the highly imbalanced ULB ...
Deep learning algorithms and Large Language Models (LLMs) have emerged as promising solutions to address the growing challenges in SoC and chiplet design and verification. The application of AI-driven ...
Mojo graph processing library inspired by Python’s NetworkX, developed to explore high-performance graph algorithms and data structures. Aims to provide a flexible interface for creating, manipulating ...