Abstract: Graph convolutional networks (GCNs ... To this end, this paper presents a communication-aware in-memory computing architecture (COIN) for GCN hardware acceleration. Besides accelerating the ...

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Abstract: Graph mining, critical for discovering specific patterns within complex structures, is becoming increasingly important in our data-driven world. Due to their memory-bound nature, graph ...

Create a V8 heap snapshot right before an "Out of Memory" error occurs, or create a heap snapshot or CPU profile on request.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers at Mem0 have introduced two new memory architectures ...

But at a recent webinar for Memgraph, he explained the switch to the in-memory graph database. "The biggest thing with Neo4j is that it is very costly for me. I can't afford that within my current ...