SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics | Paper Citation Record

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This paper cites Spatio-temporal graph convolution for resting-state fMRI analysis.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Spatio-temporal graph convolution for resting-state fMRI analysis

Reference 1

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This paper cites Graph neural networks for brain graph learning: a survey.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph neural networks for brain graph learning: a survey

Reference 2

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This paper cites Graph neural networks in brain connectivity studies: Methods, challenges, and future directions.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph neural networks in brain connectivity studies: Methods, challenges, and future directions

Reference 3

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This paper cites The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

Reference 4

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This paper cites Spectral networks and deep locally connected networks on graphs.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Spectral networks and deep locally connected networks on graphs

Reference 5

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This paper cites Semi-supervised classification with graph convolutional networks.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Semi-supervised classification with graph convolutional networks

Reference 6

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This paper cites BLIS-Net: Classifying and Analyzing Signals on Graphs.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics BLIS-Net: Classifying and Analyzing Signals on Graphs

Reference 7

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This paper cites Learnable filters for geometric scattering modules.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Learnable filters for geometric scattering modules

Reference 8

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This paper cites Graph filters for signal processing and machine learning on graphs.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph filters for signal processing and machine learning on graphs

Reference 9

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This paper cites Wavelets on graphs via spectral graph theory.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Wavelets on graphs via spectral graph theory

Reference 10

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This paper cites When Slepian meets Fiedler: Putting a focus on the graph spectrum.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics When Slepian meets Fiedler: Putting a focus on the graph spectrum

Reference 11

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This paper cites Guided graph spectral embedding: Application to the C.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Guided graph spectral embedding: Application to the C

Reference 12

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This paper cites Prolate spheroidal wave functions, Fourier analysis and uncertainty—i.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Prolate spheroidal wave functions, Fourier analysis and uncertainty—i

Reference 13

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This paper cites Prolate spheroidal wave functions, Fourier analysis, and uncertainty — v: the discrete case.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Prolate spheroidal wave functions, Fourier analysis, and uncertainty — v: the discrete case

Reference 14

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This paper cites Complex networks: A networking and signal processing perspective.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Complex networks: A networking and signal processing perspective

Reference 15

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This paper cites Graph signal processing and deep learning: Convolution, pooling, and topology.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph signal processing and deep learning: Convolution, pooling, and topology

Reference 16

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This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Convolutional neural networks on graphs with fast localized spectral filtering

Reference 17

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This paper cites On spectral clustering: Analysis and an algorithm.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics On spectral clustering: Analysis and an algorithm

Reference 18

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This paper cites Matrix backpropagation for deep networks with structured layers.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Matrix backpropagation for deep networks with structured layers

Reference 19

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This paper cites Amortized eigendecomposition for neural networks.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Amortized eigendecomposition for neural networks

Reference 20

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This paper cites SpectralNet: Spectral Clustering using Deep Neural Networks.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics SpectralNet: Spectral Clustering using Deep Neural Networks

Reference 21

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This paper cites Diffusion nets.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Diffusion nets

Reference 22

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This paper cites Geometry regularized autoen- coders.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Geometry regularized autoen- coders

Reference 23

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This paper cites Visual- izing structure and transitions in high-dimensional biological data.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Visual- izing structure and transitions in high-dimensional biological data

Reference 24

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This paper cites Graph Attention Networks.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph Attention Networks

Reference 25

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This paper cites How Powerful are Graph Neural Networks?.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics How Powerful are Graph Neural Networks?

Reference 26

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This paper cites Inductive representation learning on large graphs.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Inductive representation learning on large graphs

Reference 27

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This paper cites Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy, and Nicholas B.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy, and Nicholas B

Reference 28

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This paper cites Adam Noah, Smita Krishnaswamy, and Joy Hirsch.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Adam Noah, Smita Krishnaswamy, and Joy Hirsch

Reference 29

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This paper cites Kreyszig.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Kreyszig

Reference 30

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This paper cites Slepian guided filtering of graph signals.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Slepian guided filtering of graph signals

Reference 31

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This paper cites Time-resolved analysis of dynamic graphs: An extended slepian design.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Time-resolved analysis of dynamic graphs: An extended slepian design

Reference 32

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This paper cites Graph slepians to strike a balance between local and global network interactions: Application to functional brain imaging.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph slepians to strike a balance between local and global network interactions: Application to functional brain imaging

Reference 33

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This paper cites Guiding network analysis using graph slepians: An illustration for the c.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Guiding network analysis using graph slepians: An illustration for the c

Reference 34

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This paper cites Graph wavelet neural network.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph wavelet neural network

Reference 35

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This paper cites Graph neural networks with lifting-based adaptive graph wavelets.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph neural networks with lifting-based adaptive graph wavelets

Reference 36

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This paper cites Geometric scattering on measure spaces.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Geometric scattering on measure spaces

Reference 37

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This paper cites Schoenholz, Patrick F.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Schoenholz, Patrick F

Reference 38

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This paper cites Graph attention networks.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Graph attention networks

Reference 39

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This paper cites Inductive representation learning on large graphs.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Inductive representation learning on large graphs

Reference 40

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This paper cites How powerful are graph neural networks? In International Conference on Learning Representations, 2018.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics How powerful are graph neural networks? In International Conference on Learning Representations, 2018

Reference 41

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This paper cites Subgraph neural networks.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Subgraph neural networks

Reference 42

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This paper cites SHINE: Subhypergraph inductive neural network.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics SHINE: Subhypergraph inductive neural network

Reference 43

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This paper cites Generalizing Weisfeiler-Lehman kernels to subgraphs.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Generalizing Weisfeiler-Lehman kernels to subgraphs

Reference 44

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This paper cites Improving subgraph representation learning via multi-view augmentation.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Improving subgraph representation learning via multi-view augmentation

Reference 45

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This paper cites Subgraph representation learning with self-attention and free adversarial training.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Subgraph representation learning with self-attention and free adversarial training

Reference 46

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This paper cites OCD Influences Evidence Accumulation During Decision Making in Males but Not Females During Perceptual and Value-Driven Choice.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics OCD Influences Evidence Accumulation During Decision Making in Males but Not Females During Perceptual and Value-Driven Choice

Reference 47

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This paper cites Gorgolewski, Demian Wassermann, Bertrand Thirion, and Arthur Mensch.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Gorgolewski, Demian Wassermann, Bertrand Thirion, and Arthur Mensch

Reference 48

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This paper cites MacLaren Kelly, Christopher Pittenger, and Ifat Levy.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics MacLaren Kelly, Christopher Pittenger, and Ifat Levy

Reference 49

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This paper cites Nelson, Aldo Rustichini, and Paul W.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Nelson, Aldo Rustichini, and Paul W

Reference 50

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Observation d80b3404-402d-4e94-8ffc-68cc7cb9407a · outbound

This paper cites Di Martino, C.-G.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Di Martino, C.-G

Reference 51

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This paper cites Lyttelton, Habib Benali, and Alan C.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Lyttelton, Habib Benali, and Alan C

Reference 52

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This paper cites Freeway performance measurement system: Mining loop detector data.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Freeway performance measurement system: Mining loop detector data

Reference 53

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This paper cites Chamberlain, Angela R.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Chamberlain, Angela R

Reference 54

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This paper cites Abnormal regional homogeneity in patients with obsessive-compulsive disorder and their unaffected siblings: A resting-state fmri study.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Abnormal regional homogeneity in patients with obsessive-compulsive disorder and their unaffected siblings: A resting-state fmri study

Reference 55

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This paper cites Decoupled Weight Decay Regularization.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Decoupled Weight Decay Regularization

Reference 56

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This paper cites URL https://www.sciencedirect.com/science/article/ pii/S1053811910002697.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics URL https://www.sciencedirect.com/science/article/ pii/S1053811910002697

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:54.128141Z

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Observation f2e63ea9-5d4b-4887-9adf-b7788c149710 · outbound

This paper cites an unresolved cited work.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Unresolved cited work

Reference 8457

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Pith citing papers