In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...

LeetCode is super important for coding interviews because lots of big tech companies use its style of problems. Getting good ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

"Reconstructing 3D chromosome structures from single-cell Hi-C data with SO (3)-equivariant graph neural networks," was published in NAR Genomics and Bioinformatics.

Pointers in Go can be challenging for developers new to low-level programming languages. In this article, I’ll walk you through a program that uses them to create a graph-based permission system.

Maritime software company Ulysses Systems has released its new fleet management software on a web-based application development platform, where the core of the software is a data model with attributes ...

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.

Effective graph visualization is crucial for various fields, including social network analysis, bioinformatics, cybersecurity, and software engineering. By providing a visual understanding of complex ...

Dijkstra’s paper used a simple data structure that left room for improvement. In the following decades, researchers developed better ones, affectionately dubbed “heaps,” in which certain items are ...

Master data structures and algorithms with our top 10 book recommendations. Improve your coding skills and become a proficient programmer.

Despite graph theory's immense analytical potential, the intricacy of existing professional imaging data processing software—often demanding high-level programming acumen—has been a bottleneck ...

Graph neural networks (GNNs) rely heavily on graph structures and artificial hyperparameters, which may increase computation and affect performance. Most GNNs use original graphs, but the original ...