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 structured ...
Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, ...
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Communication-aware neural networks could advance edge computing
Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles ...
Knowledge graph completion (KGC) aims to fill in missing entities and relations within knowledge graphs (KGs) to address their incompleteness. Most existing KGC models suffer from knowledge coverage ...
Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...
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