15 citations · 43 across the 11 of their papers we have counts for
3 papers · 1 filter
Molecular Classification Using Hyperdimensional Graph Classification
Pere Verges, Igor Nunes, Mike Heddes +2
Our work introduces an innovative approach to graph learning by leveraging Hyperdimensional Computing. Graphs serve as a widely embraced method for conveying information, and their…
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries
Mike Heddes, Igor Nunes, Tony Givargis +1
With the increasing rate of data generated by critical systems, estimating functions on streaming data has become essential. This demand has driven numerous advancements in algorit…
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Mike Heddes, Narayan Srinivasa, Tony Givargis +1
The excessive computational requirements of modern artificial neural networks (ANNs) are posing limitations on the machines that can run them. Sparsification of ANNs is often motiv…