Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...

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 ...

Picking up from where we left off with part one of the top technology trends for the 2020s, here is what will shape the data landscape for the years to come. 2. AI: It's all about Data and Hardware ...

Graphs -- data structures that show the relationship among objects -- are highly versatile. It's easy to imagine a graph depicting a social media network's web of connections. But graphs are also used ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

The concept of blockchain as a standalone technology started gaining popularity in 2015. Prior to that, it was just known as a data structure underlying Bitcoin technology. In Satoshi Nakamoto’s white ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

What makes some good software developers good at building large scale software but weak at data structures and algorithms? originally appeared on Quora: the place to gain and share knowledge, ...

MIT researchers developed software to more efficiently run graph applications on a range of computing hardware, including both CPUs and GPUs. The advance could boost analysis of social networks, ...