Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...

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Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

Getting a number of vendors to talk to each other, let alone align, is no easy feat. Adding academics and researchers does not necessarily make things easier. Now try adding to the mix a fragmented ...

Download KgBase’s Vision Paper to learn how to build the ultimate enterprise knowledge system: a federated mesh of independently maintained no-code knowledge graphs. KgBase - Create Knowledge Graphs ...

The concept of blockchain as a standalone technology started gaining popularity in 2015. Prior to that, it was just known as a data structure underlying Bitcoin technology. In Satoshi Nakamoto’s white ...

Facebook continues to pull back the curtain on some of the technical details behind its search products, this time with a new look at the Social Graph. The social network's latest reveal is about ...

MENLO PARK, CALIF. --On the surface, Facebook's new Graph Search is touted as a new method to enable more connections between people and content worldwide. It turns out what is making all of that ...