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Found 7 papers, 2 papers with code
Dissecting graph measure performance for node clustering in LFR parameter space
While usually measure comparisons are limited to general measure ranking on a particular dataset, we aim to explore the performance of various measures depending on graph features.
Dissecting graph measures performance for node clustering in LFR parameter space
Given particular graph parameters, this allows us to choose the best measure to use for clustering.
Image-to-image Neural Network for Addition and Subtraction of a Pair of Not Very Large Numbers
Looking back at the history of calculators, one can see that they become less functional and more computationally expensive over time.
StyleGAN2 Distillation for Feed-forward Image Manipulation
Editing existing images requires embedding a given image into the latent space of StyleGAN2.
Precipitation Nowcasting with Satellite Imagery
Precipitation nowcasting is a short-range forecast of rain/snow (up to 2 hours), often displayed on top of the geographical map by the weather service.
Spatiotemporal Data Fusion for Precipitation Nowcasting
Precipitation nowcasting using neural networks and ground-based radars has become one of the key components of modern weather prediction services, but it is limited to the regions covered by ground-based radars.
Do logarithmic proximity measures outperform plain ones in graph clustering?
A possible origin of this effect is that most kernels have a multiplicative nature, while the nature of distances used in cluster algorithms is an additive one (cf.
