Cencheng Shen

Appl. Netw. Sci., December, 2024

Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2024

Independence Testing for Temporal Data.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Discovering the signal subgraph: An iterative screening approach on graphs.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2024

Synergistic graph fusion via encoder embedding.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Fast and Scalable Multi-Kernel Encoder Classifier.

[BibT_eX]

[DOI]

CoRR, 2024

Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Graph Encoder Embedding for Large Sparse Graphs in Python.

[BibT_eX]

[DOI]

Xihan Qin

Proceedings of the Intelligent Computing, 2024

Edge-Parallel Graph Encoder Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

One-Hot Graph Encoder Embedding.

[BibT_eX]

[DOI]

Qizhe Wang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Learning sources of variability from high-dimensional observational studies.

[BibT_eX]

[DOI]

CoRR, 2023

Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection.

[BibT_eX]

[DOI]

Youngser Park

Proceedings of the 2nd International Conference on Algorithms, 2023

2022

A Simple Spectral Failure Mode for Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

The Chi-Square Test of Distance Correlation.

[BibT_eX]

[DOI]

Sambit Panda

J. Comput. Graph. Stat., 2022

2021

Graph Encoder Embedding.

[BibT_eX]

[DOI]

Qizhe Wang

CoRR, 2021

2020

Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

Sparse Projection Oblique Randomer Forests.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

High-Dimensional Independence Testing and Maximum Marginal Correlation.

[BibT_eX]

[DOI]

CoRR, 2020

2019

The Chi-Square Test of Distance Correlation.

[BibT_eX]

[DOI]

CoRR, 2019

The Exact Equivalence of Independence Testing and Two-Sample Testing.

[BibT_eX]

[DOI]

CoRR, 2019

A Consistent Independence Test for Multivariate Time-Series.

[BibT_eX]

[DOI]

CoRR, 2019

mgcpy: A Comprehensive High Dimensional Independence Testing Python Package.

[BibT_eX]

[DOI]

CoRR, 2019

Estimating Information-Theoretic Quantities with Random Forests.

[BibT_eX]

[DOI]

Richard Guo

CoRR, 2019

Sparse Representation Classification via Screening for Graphs.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Decision Forests Induce Characteristic Kernels.

[BibT_eX]

[DOI]

CoRR, 2018

The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Manifold matching using shortest-path distance and joint neighborhood selection.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

2016

Robust Vertex Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

On the Incommensurability Phenomenon.

[BibT_eX]

[DOI]

J. Classif., 2016

2015

Collaborative Information Retrieval Framework Based on FCA.

[BibT_eX]

[DOI]

Wenyan Bao