By leveraging the concept of chirality, or the difference of a shape from its mirror image, EPFL scientists have engineered ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Writing complex data structures in Go can help developers better understand the principles of pointers and references.

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.

Symmetric non-negative matrix factorization (Sym-NMF) decomposes a high-dimensional symmetric non-negative matrix into a low-dimensional non-negative matrix and has been successfully used in graph ...

Borrowing from topological data analysis, the WFCC allows graphs learned from different datasets and/or null models to be systematically compared, and differences in both the fine- and coarse-grained ...

If one creates a weighted, undirected graph from an adjacency matrix, wouldn't it make sense to check if the adjacency matrix is symmetric? This check was also introduced in rigraph I think, see ...

Therefore, this paper proposes a linear graph neural network framework [Linear Graph Neural Network (LGNN)] with superior performance. The model first preprocesses the input graph, and uses symmetric ...

Symmetry Systems, a startup developing a platform to help companies improve their data security management, has raised $18 million in a venture round.