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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
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 ...
COMPANY NEWS: New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale Neo4j, the leading graph database and ...
Motif-based graph local clustering is a popular method for graph mining tasks due to its various applications, such as community detection, network optimization and graph learning. However, the ...
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SAN MATEO, Calif., Sept. 4, 2025 /CNW/ -- Neo4j ®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j's ...
New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale The database guarantees full ACID compliance so that ...
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