The subgraphs for training are preprocessed with motif detection and stored in different files in this code. We provide StackOverflow as an example. The 1h scale can be used directly, while the 5h and ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

This project provides a generic (Java FX) graph visualization library that can automatically arrange the vertices' locations through a force-directed algorithm in real-time. Since the visualization is ...

Abstract: There are essentially four points that Dr. Chebotarev's raises in [1]. Point 1. Chebotarev claims that Lemma 2 is not correct as stated and gives a counter example consisting of a simple ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Vikki Velasquez is a researcher and writer who has managed, coordinated, and ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...

Many real-world systems are connected in a complex directed network, such as food webs, social, or neural networks. Spreading and synchronization processes often occur in such systems, and ...

A graph data structure defined is a non-linear data structure that has nodes and edges. A node in a graph has a value and all these nodes are interconnected with each other using vertices. Every graph ...

Despite the increasing number of pharmaceutical companies, university laboratories and funding, less than one percent of initially researched drugs enter the commercial market. In this context, ...

Graphs are, by nature, ‘unifying abstractions’ that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users and consumers of ...