1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh, Fatemeh Tabatabaei Far, Mohammad Rahmati
Evolving networks are complex data structures that emerge in a wide range of systems in science and engineering. Learning expressive representations for such networks that encode t…
cs.CV2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi +2
Spiking neural networks (SNNs) can be used in low-power and embedded systems (such as emerging neuromorphic chips) due to their event-based nature. Also, they have the advantage of…