Variational Graph Auto-Encoder (VGAE)
Variational Graph Auto-Encoder (VGAE) was proposed by T. N. Kipf and M. Welling for link prediction, which is a key problem for network-structured data.
Da Vinci – A Scaleable Architecture for Neural Network Computing (updated v7)
In this presentation, we introduce microprocessor trends, describe two distinct eras of computing usage in training AI systems and show the wide variety of computing architectures.
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