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12/09/2022
Non-equispaced Fourier Neural Solvers for PDEs
Solving partial differential equations is difficult. Recently proposed n...
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10/19/2021
An Empirical Study: Extensive Deep Temporal Point Process
Temporal point process as the stochastic process on continuous domain of...
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10/04/2021
Git: Clustering Based on Graph of Intensity Topology
Accuracy, Robustness to noises and scales, Interpretability, Speed, and ...
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06/21/2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
Recent years have witnessed great success in handling node classificatio...
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05/16/2021
Self-supervised on Graphs: Contrastive, Generative,or Predictive
Deep learning on graphs has recently achieved remarkable success on a va...
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01/04/2021
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting
Spatio-temporal prediction is challenging attributing to the high nonlin...
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09/21/2020
Deep Clustering and Representation Learning that Preserves Geometric Structures
In this paper, we propose a novel framework for Deep Clustering and Repr...
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01/18/2020
A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video
The data storage has been one of the bottlenecks in surveillance systems...
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01/18/2020