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Lovabledaniels
New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained...
Lovabledaniels
Tech Lovabledaniels
Graph neural networks show promise for detecting money laundering and collusion in transaction webs
The tasks of GNNs at different levels. For node level, the label of each node is determined by its features and neighbors. For...
Lovabledaniels
Tech Lovabledaniels
Novel out-of-core mechanism introduced for large-scale graph neural network training
Schematic Diagram: Capsule System Workflow Framework. Credit: Image by USTC A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN...
Lovabledaniels
