Learn to create a yield curve in Excel and understand its implications for interest rate forecasting. Follow our simple guide ...

Navigability captures the ability of a complex network to support efficient, decentralized search. The concept has a rich history, from Milgram’s "six degrees of separation" to Kleinberg’s ...

Spline graphs connecting sparse data points create smooth curves that mislead users into believing there's continuous data when there are actually large gaps between measurements. This can cause ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

STG-DMD (Sparse-Coded Time-Delay Graph Dynamic Mode Decomposition) is a data-driven framework for modeling nonlinear dynamics on graph structures. It integrates: StgDmd/ ├── code/ │ ├── artificial/ │ ...

School of Informatics, Hunan University of Chinese Medicine, Changsha, China MicroRNAs (miRNAs) play a crucial role in regulating gene expression, and their subcellular localization is essential for ...

Knowledge graphs (KGs) are the foundation of artificial intelligence applications but are incomplete and sparse, affecting their effectiveness. Well-established KGs such as DBpedia and Wikidata lack ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...

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 ...

The original version of this story appeared in Quanta Magazine. Much of mathematics is driven by intuition, by a deep-rooted sense of what should be true. But sometimes instinct can lead a ...