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04/14/2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Graph Convolutional Network (GCN) with the powerful capacity to explore ...
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04/13/2023
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Heterogeneous graph neural networks aim to discover discriminative node ...
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12/13/2022
AWT – Clustering Meteorological Time Series Using an Aggregated Wavelet Tree
Both clustering and outlier detection play an important role for meteoro...
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12/09/2022
Multi-view Graph Convolutional Networks with Differentiable Node Selection
Multi-view data containing complementary and consensus information can f...
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11/16/2022
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
In practical applications, multi-view data depicting objectives from ass...
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10/13/2022
Deep Clustering With Consensus Representations
The field of deep clustering combines deep learning and clustering to le...
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06/14/2022
Interpretable Gait Recognition by Granger Causality
Which joint interactions in the human gait cycle can be used as biometri...
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06/10/2022
Causal Discovery in Hawkes Processes by Minimum Description Length
Hawkes processes are a special class of temporal point processes which e...
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12/09/2021
High performance computing on Android devices – a case study
High performance computing for low power devices can be useful to speed ...
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12/09/2021
GPU backed Data Mining on Android Devices
Choosing an appropriate programming paradigm for high-performance comput...
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04/27/2021
Network Embedding via Deep Prediction Model
Network-structured data becomes ubiquitous in daily life and is growing ...
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11/06/2020
Massively Parallel Graph Drawing and Representation Learning
To fully exploit the performance potential of modern multi-core processo...
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03/24/2020
