With a blend of AI, engineering, and visionary thinking, Drumil Joshi is setting a new benchmark in how we understand and ...

The offering includes the industry's largest selection of 65+ ready-to-use graph algorithms and is optimized for high-performance applications and parallel workflows. Users pay only for the ...

Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...

Reversible programs run backward as easily as they run forward, saving energy in theory. After decades of research, they may soon power AI. One computer scientist’s “stunning” proof is the first ...

we propose query based graph reduction algorithms. Query based graph reduction algorithms, by taking advantage of structural properties of graph and edge weights, compute reduced graphs that preserves ...

OUTPUT ## Small graph: 5 vertices, 5 edges Contact Graph: (5, 2) (5, 3) Infectable Graph: (5, 2) (2, 3) Path graph: (5, 2) (3, 3) src dst wt 1 0 2 10 2 3 0 9 distance vertex predecessor 0 9.0 3 0 1 10 ...

However, few study focuses on modeling the performance of graph algorithms and systems to identify the bottleneck of existing machines under the workload of large-scale graphs. In this paper, we ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

The goal was to restore incomplete graph data using topological and attribute information. We integrated our C++ core with Python via pybind11 to enable flexible experimentation and evaluation. ├── ...