Recent advances in Graph Convolutional Neural Networks (GCNNs) have shown their efficiency for nonEuclidean data on graphs, which often require a large amount of labeled data with high cost. It it ...

Official implementation of Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation by Jun Hyeong Kim*, Seonghwan Kim*, Seokhyun Moon*, Hyeongwoo Kim*, Jeheon Woo*, Woo Youn Kim. [arXiv ...

Graph grammars and transformations (GGT) have been a field of theoretical study for over two decades. However, it has produced only a handful of practical implementations. GGT needs a widely used ...

Agentic AI is transforming cloud migration and modernization, enabling enterprises to accelerate processes, optimize costs, ...

Experts point out that the use of a unified decoder will significantly enhance the efficiency and accuracy of scene graph generation. Compared to traditional methods ... that promoting this technology ...

The perception of the Chinese armed forces as outdated and relying only on numerical superiority is a serious mistake, ...

A. W. Goodman, On the Schwarz-Christoffel Transformation and p-Valent Functions, Transactions of the American Mathematical Society, Vol. 68, No. 2 (Mar., 1950), pp ...

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

XM Cyber is deepening its partnership with Google Cloud to offer enterprises more secure digital solutions. The collaboration brings together XM Cyber's continuous exposure management with Google ...

Open-source data orchestration platform Kestra reaches 1.0 as organizations grapple with increasing complexity for getting ...

Feixiang AI Ink Screen Terminal' makes its debut. Photo by Li Mu Yi, New Beijing News. Feixiang Planet is committed to ...

Amid the chaos of revolutionary France, one man’s mathematical obsession gave way to a calculation that now underpins much of ...