Neo4j ®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j's self-managed offering. Infinigraph enables Neo4j's ...

In the data-driven era, data analysis has become a core skill across various industries. Python, with its inherent advantages ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering ...

This framework is designed to address the challenges of domain-specific AI reasoning by providing support for medical research through intelligent data generation and synthesis ... allowing users to ...

This was followed by an online assessment featuring challenging questions on graphs and dynamic programming ... which included two technical rounds focused on data structures and algorithms. The ...

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Finding connectivity in graphs has numerous applications, such as social network analysis, data mining, intra-city or inter-cities connectivity, neural network, and many more. The deluge of graph ...

The graph convolutional layer used in this project is the graph convolutional layer (GraphConv), (17) whose theoretical basis is the approximation of spectral graph convolution, allowing the extension ...

Trusting an algorithmic decision is much easier if it is understood how it was achieved. Therefore, data mining algorithms with explainable abilities are preferred over complex models for critical ...

Furthermore, current denoising algorithms are often confined to a single data domain, limiting their ability to capture deeper structural information. To overcome these limitations, we introduce a ...