Graph polynomials serve as robust algebraic encodings of the intricate combinatorial properties inherent to graphs. At the heart of this discipline lies the Tutte polynomial, an invariant that not ...

Graph polynomials serve as robust algebraic encodings of the intricate combinatorial properties inherent to graphs. At the heart of this discipline lies the Tutte polynomial, an invariant that not ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

While the world continues to fixate on AI, there are still plenty of high performance computing workloads that need doing and ...

Professors Amir Ali Ahmadi and Pravesh Kothari are pioneering the use of artificial intelligence to enhance complex ...

Let G = (V, E) be a simple graph. A set D ⊆ V (G) is a doubly connected dominating set of G if it is a dominating set and both induced subgraphs D and V (G) ∖ D are connected. In this paper, we ...

Let G be a graph of order n. A subset S of V (G) is a dominating set of G if every vertex in V (G)∖S is adjacent to at least one vertex of S. The domination polynomial of G is the polynomial D(G,x) ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

Google AI Mode now supports interactive graphs for financial data right in Search, and it’s a game-changing feature.

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Algebra can be demystified with the right approach. Transforming word problems into mathematical expressions is crucial, alongside using formula sheet ...