DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication

1 code implementation • 27 May 2023 • Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander Veidenbaum, Alexandru Nicolau, Tony Givargis

DotHash can be used to estimate the Jaccard index and, to the best of our knowledge, is the first method that can also estimate the Adamic-Adar index and a family of related metrics.

Link Prediction Recommendation Systems

HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing

1 code implementation • 24 Apr 2023 • Pere Vergés, Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau

The experiments were run on four different machines, including different hyperparameter configurations, and the results were compared to a popular prototyping library built on PyTorch.

C++ code Descriptive

Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures

1 code implementation • 18 May 2022 • Mike Heddes, Igor Nunes, Pere Vergés, Denis Kleyko, Danny Abraham, Tony Givargis, Alexandru Nicolau, Alexander Veidenbaum

Hyperdimensional computing (HD), also known as vector symbolic architectures (VSA), is a framework for computing with distributed representations by exploiting properties of random high-dimensional vector spaces.