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Deoscillated Graph Collaborative Filtering [article]

Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu
2021 arXiv   pre-print
In order to tackle these problems, we propose a new RS model, named as Deoscillated Graph Collaborative Filtering (DGCF).  ...  Collaborative Filtering (CF) signals are crucial for a Recommender System (RS) model to learn user and item embeddings.  ...  Proposed Model In this section, we present the structure of our proposed deep Deoscillated Graph Collaborative Filtering (DGCF) model.  ... 
arXiv:2011.02100v2 fatcat:skmwbrqvgffr7b5vyw2dt2x6t4

Using Machine Learning and Computer Simulations to Analyse Neuronal Activity in the Cerebellar Nuclei During Absence Epilepsy [article]

Parimala Alva, UH Research Archive, UH Research Archive
2016
ECoGs were filtered online using a 1 to 100Hz band pass filter and a 50Hz notch filter.  ...  Graph Theoretic Algorithms In graph theoretic clustering algorithms, a graph structure is constructed by constructing a minimal spanning tree of the data.  ...  The successful application of short periods of optogenetic excitation of CN neurons not only confirmed the deoscillating impact of gabazine, but further refined it by revealing that GSWDs can be most efficiently  ... 
doi:10.18745/th.17206 fatcat:epd5646j4fhh3f4lfueazkk5fe

The Effect of Input from the Cerebellar Nuclei on Activity in Thalamocortical Networks [article]

Julia Goncharenko, UH Research Archive
2022
Dynamical synapses such as PC-FTN synapses display low-pass filtering properties.  ...  Both experimental approaches had different dynamics but lead to the converging deoscillating effect -termination of absence seizures.  ... 
doi:10.18745/th.25325 fatcat:l7tco3fyibdondymqwhabl3hu4