Abstract: Traditional shortest-path graph kernels generate for each graph a histogram-like feature map, whose elements represent the number of occurrences of non-isomorphic shortest paths in this ...
When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...
Rubik's cubes are great for fun, fast-paced problem solving, but they also have a rich mathematical structure involving ideas of symmetry and connectivity. A 3x3x3 Rubik’s cube has 43 quintillion ...
On this date in 1996, Brooklyn lyricist Jeru the Damaja returned to the front lines of Hip Hop with the release of his sophomore album Wrath of the Math on the Payday/PolyGram imprint. A core member ...
A few months before the 2025 International Mathematical Olympiad (IMO) in July, a three-person team at OpenAI made a long bet that they could use the competition’s brutally tough problems to train an ...
Abstract: Graph theory is a critical field in computer science and mathematics, particularly in solving shortest path problems. In this paper, a comparative analysis of Breadth-First Search (BFS) and ...
Harvard professor of mathematics and biology Martin Nowak focused on math as a path to God during a presentation at the 2025 annual conference of the Society of Catholic Scientists in Washington, D.C.
Hancy Maxis says that math skills helped him find work after being released from prison. Credit: Yunuen Bonaparte for The Hechinger Report The Hechinger Report covers one topic: education. Sign up for ...
An AI system developed by Google DeepMind, Google’s leading AI research lab, appears to have surpassed the average gold medalist in solving geometry problems in an international mathematics ...
A string of startups are racing to build models that can produce better and better software. They claim it’s the shortest path to AGI. Ask people building generative AI what generative AI is good for ...
Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...
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