Graph algorithms and processing form the backbone of numerous applications across science and industry, ranging from social network analysis to large-scale data management. The field has evolved to ...

A team of researchers led by professor Xindong Wu in Hefei, China has developed an unsupervised entity alignment framework to improve the process of searching for related information in multiple ...

Graph processing at hyperscale has historically been a challenge because of the sheer complexity of algorithms and graph workflows. Alibaba has been tackling this issue via a project called GraphScope ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

A technical paper titled “ACTS: A Near-Memory FPGA Graph Processing Framework” was published by researchers at University of Virginia and Samsung. “Despite the high off-chip bandwidth and on-chip ...

ADELPHI, Md. -- Threat detection and prevention are essential to ensuring the safety and security of warfighters. Researchers have developed a way to speed up the processing of extremely large graphs ...

Move over Hadoop, there is another highly scalable data-processing powerhouse in town: Apache Giraph. Facebook is using the technology to bring a new style of search to its billion users. “Analyzing ...

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