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In today’s digital landscape, blockchain technology is revolutionizing how we interact with data, leading to the rise of decentralized applications (dApps). These innovative applications are shifting ...
Abstract: Efficient processing of streaming graphs is crucial to improve system performance. Due to the highly irregular and frequent access to data in streaming graph processing, existing cache ...
Many applications, such as Web searching, social network analysis, and power grid management, require extreme-scale graph processing. However, it is very challenging because graph processing exhibits ...
We present a novel framework GraphZoo, that makes learning, using, and designing graph processing pipelines/models systematic by abstraction over the redundant components. The framework contains a ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Google Cloud has updated its fully managed distributed SQL database service Spanner to add graph processing capabilities, dubbed Spanner Graph. The update is expected to help developers build ...
Abstract: Graph networks can model data observed across different levels of biological systems that span from population graphs (with patients as network nodes) to molecular graphs that involve omics ...
Construct the residual graph for given graph. Attempt to find a path from source to sink in the residual graph. If a path exists, it gives us an augmenting path, which we use to improve given graph ...