Abstract: In everyday life, it is crucial to protect our data and communication. The necessity for secure message communication is not a novel concept. It has existed for a long time. Data security ...
Characterizing the representations encoded in patterns of neural activity is key to understanding brain computation. Representational similarity analysis uses the geometry of neural population ...
The exploration of important biomarkers associated with cancer development is crucial for diagnosing cancer, designing therapeutic interventions, and predicting prognoses. The analysis of gene ...
This repository is not maintained anymore. An updated version of the sparse codebase in this repo, together with many more GNN implementations, is available on https ...
# generate sparse matrices sparsemat --file complex.tess --dir path/to/target/directory # find disorientation angles between neighbouring grains of orders less than N ndisangles --file complex.tess ...
Developing new drugs is complex and time-consuming, with many candidates failing to reach the market. Generative Adversarial Networks (GANs) are now being applied in drug discovery to identify ...
The classical world is local and most classical Hamiltonians (e.g., Newtonian gravity) can be written as a sum of 2-body interactions. However, quantum mechanics allows for more general nonlocal ...
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