Clustering is the process of using heuristic to link together individual UTXOs that are controlled by a single wallet. It is ...

Aiming at the problem of sparse information distribution and lack of good correlation between data in the era of big data, this paper proposes a knowledge graph query and reasoning method based on ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

Generalized index modulation (GIM) which implicitly conveys information by the activated indices is a promising technique for next-generation wireless networks. Due to the prohibitive challenge of bit ...

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, ...

The newspaper said the British sister of the unnamed man at the centre of the new theory tipped off police in the UK in 2018. “German prosecutors were asked to authorise a covert police ...

machine-learning deep-learning statistical-mechanics computational-physics graph-theory computational-geometry algebraic-topology complex-networks persistent-homology computational-topology ...