Paper Citation Record · LEDGER

Variational Graph Convolutional Neural Networks

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.01699.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.01699 v1

Coverage vector

measured 46 of 46 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

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Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 72ba3fd5-586b-43f8-b4c5-c9fca3af27c7 · outbound

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

Variational Graph Convolutional Neural Networks Semi-supervised classification with graph convolutional networks,

Reference 1

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This paper cites Graph attention networks,.

Variational Graph Convolutional Neural Networks Graph attention networks,

Reference 2

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This paper cites Social me- dia sentiment analysis based on dependency graph and co-occurrence graph,.

Variational Graph Convolutional Neural Networks Social me- dia sentiment analysis based on dependency graph and co-occurrence graph,

Reference 3

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This paper cites Rumor detection on social media with bi-directional graph convolutional networks,.

Variational Graph Convolutional Neural Networks Rumor detection on social media with bi-directional graph convolutional networks,

Reference 4

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Observation 0f8dc4c0-3d61-4a62-acf3-875671813102 · outbound

This paper cites Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance,.

Variational Graph Convolutional Neural Networks Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance,

Reference 5

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This paper cites Mdgnn: Multi-relational dynamic graph neural network for comprehensive and dynamic stock investment prediction,.

Variational Graph Convolutional Neural Networks Mdgnn: Multi-relational dynamic graph neural network for comprehensive and dynamic stock investment prediction,

Reference 6

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Observation f929c3c8-ef77-4e4c-bc74-48b492484414 · outbound

This paper cites Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition.

Variational Graph Convolutional Neural Networks Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 7

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Observation d7ae0e1b-d9ee-4707-b39d-dd88f80e7682 · outbound

This paper cites Two-stream adap- tive graph convolutional networks for skeleton-based action recognition,.

Variational Graph Convolutional Neural Networks Two-stream adap- tive graph convolutional networks for skeleton-based action recognition,

Reference 8

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This paper cites Temporal attention-augmented graph convolutional network for efficient skeleton-based human action recognition,.

Variational Graph Convolutional Neural Networks Temporal attention-augmented graph convolutional network for efficient skeleton-based human action recognition,

Reference 9

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Observation 8e4a8909-bb6f-400f-ac67-1e46a6f66bdc · outbound

This paper cites Gnn-ddas: Drug discovery for identifying anti- schistosome small molecules based on graph neural network,.

Variational Graph Convolutional Neural Networks Gnn-ddas: Drug discovery for identifying anti- schistosome small molecules based on graph neural network,

Reference 10

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Observation 7f28b7f7-5003-4e1b-b011-e3061f69e6c7 · outbound

This paper cites Gcrnn: graph convolutional recurrent neural network for compound–protein interaction prediction,.

Variational Graph Convolutional Neural Networks Gcrnn: graph convolutional recurrent neural network for compound–protein interaction prediction,

Reference 11

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Observation c8f5e394-e502-4081-85df-bdb2327dcca9 · outbound

This paper cites Variational neural networks,.

Variational Graph Convolutional Neural Networks Variational neural networks,

Reference 12

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Observation 9ef77afb-7a2b-4291-9ef7-dacdb3e93690 · outbound

This paper cites A survey of uncertainty in deep neural networks,.

Variational Graph Convolutional Neural Networks A survey of uncertainty in deep neural networks,

Reference 13

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This paper cites Evidential deep learning to quantify classification uncertainty,.

Variational Graph Convolutional Neural Networks Evidential deep learning to quantify classification uncertainty,

Reference 14

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Observation e8efa0ec-c754-4cf9-b297-ffd039e59d2e · outbound

This paper cites Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss.

Variational Graph Convolutional Neural Networks Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss

Reference 15

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Observation ce87cb4e-246e-4621-a589-ccb2b340b55b · outbound

This paper cites Weight Uncertainty in Neural Networks,.

Variational Graph Convolutional Neural Networks Weight Uncertainty in Neural Networks,

Reference 16

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Observation bcc84f92-edbe-479a-af70-8932d08513ab · outbound

This paper cites Bayesian learning for neural networks: an algorithmic survey,.

Variational Graph Convolutional Neural Networks Bayesian learning for neural networks: an algorithmic survey,

Reference 17

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Observation 26a831de-1e5d-473e-b6cc-6e2e17741838 · outbound

This paper cites Randomized prior functions for deep reinforcement learning,.

Variational Graph Convolutional Neural Networks Randomized prior functions for deep reinforcement learning,

Reference 18

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Observation 127da0bf-d316-42b5-b2ac-5eb8fbee1dc7 · outbound

This paper cites Deep sub-ensembles for fast uncertainty estimation in image classification,.

Variational Graph Convolutional Neural Networks Deep sub-ensembles for fast uncertainty estimation in image classification,

Reference 19

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This paper cites Layer ensembles,.

Variational Graph Convolutional Neural Networks Layer ensembles,

Reference 20

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This paper cites Au- tomatic brain tumor segmentation using convolutional neural networks with test-time augmentation,.

Variational Graph Convolutional Neural Networks Au- tomatic brain tumor segmentation using convolutional neural networks with test-time augmentation,

Reference 21

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Observation 0a407bc1-ad73-4334-991c-7bed455ff08b · outbound

This paper cites Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolu- tional neural networks,.

Variational Graph Convolutional Neural Networks Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolu- tional neural networks,

Reference 22

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This paper cites Improving convolutional neural networks performance for image classification using test time augmen- tation: a case study using MURA dataset,.

Variational Graph Convolutional Neural Networks Improving convolutional neural networks performance for image classification using test time augmen- tation: a case study using MURA dataset,

Reference 23

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Observation 1e0c1b82-af49-4eba-b475-c59363ca10b8 · outbound

This paper cites Variational neural networks implementation in pytorch and jax,.

Variational Graph Convolutional Neural Networks Variational neural networks implementation in pytorch and jax,

Reference 24

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This paper cites Uncertainty in Graph Neural Networks: A Survey,.

Variational Graph Convolutional Neural Networks Uncertainty in Graph Neural Networks: A Survey,

Reference 25

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Variational Graph Convolutional Neural Networks Graphpatcher: Mitigating degree bias for graph neural networks via test-time augmentation,

Reference 26

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Observation cff748e8-83e9-4a86-be58-a657d94ae569 · outbound

This paper cites Social influence prediction with train and test time augmentation for graph neural networks,.

Variational Graph Convolutional Neural Networks Social influence prediction with train and test time augmentation for graph neural networks,

Reference 27

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This paper cites Epistemic Neural Networks,.

Variational Graph Convolutional Neural Networks Epistemic Neural Networks,

Reference 28

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This paper cites Dropout as a bayesian approx- imation: Representing model uncertainty in deep learning,.

Variational Graph Convolutional Neural Networks Dropout as a bayesian approx- imation: Representing model uncertainty in deep learning,

Reference 29

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This paper cites Bayesian graph convolutional neural networks for semi-supervised classification,.

Variational Graph Convolutional Neural Networks Bayesian graph convolutional neural networks for semi-supervised classification,

Reference 30

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This paper cites Bayesian graph neural networks with adaptive connection sampling,.

Variational Graph Convolutional Neural Networks Bayesian graph neural networks with adaptive connection sampling,

Reference 31

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This paper cites Drope- dge: Towards deep graph convolutional networks on node classification,.

Variational Graph Convolutional Neural Networks Drope- dge: Towards deep graph convolutional networks on node classification,

Reference 32

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Observation 82e8a0bf-c8cd-426e-8e03-46409113abe9 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Variational Graph Convolutional Neural Networks The Kinetics Human Action Video Dataset

Reference 33

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This paper cites A closer look at spatiotemporal convolutions for action recognition,.

Variational Graph Convolutional Neural Networks A closer look at spatiotemporal convolutions for action recognition,

Reference 34

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Variational Graph Convolutional Neural Networks Auto-Encoding Variational Bayes,

Reference 35

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This paper cites How do investment ideas spread through social interaction? evidence from a ponzi scheme,.

Variational Graph Convolutional Neural Networks How do investment ideas spread through social interaction? evidence from a ponzi scheme,

Reference 36

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This paper cites A neural network with a case based dynamic window for stock trading prediction,.

Variational Graph Convolutional Neural Networks A neural network with a case based dynamic window for stock trading prediction,

Reference 37

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Variational Graph Convolutional Neural Networks An innovative neural network approach for stock market prediction,

Reference 38

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Variational Graph Convolutional Neural Networks Deepinf: Social influence prediction with deep learning,

Reference 39

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This paper cites An edge feature aware heterogeneous graph neural network model to support tax evasion detection,.

Variational Graph Convolutional Neural Networks An edge feature aware heterogeneous graph neural network model to support tax evasion detection,

Reference 40

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This paper cites On the combination of graph data for assessing thin-file borrowers’ creditworthiness,.

Variational Graph Convolutional Neural Networks On the combination of graph data for assessing thin-file borrowers’ creditworthiness,

Reference 41

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This paper cites Uncertainty-aware ab3dmot by variational 3d object detection,.

Variational Graph Convolutional Neural Networks Uncertainty-aware ab3dmot by variational 3d object detection,

Reference 42

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This paper cites Ntu rgb+d: A large scale dataset for 3d human activity analysis,.

Variational Graph Convolutional Neural Networks Ntu rgb+d: A large scale dataset for 3d human activity analysis,

Reference 43

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Observation dd28de91-ef12-4be2-b394-8c91c3212df4 · outbound

This paper cites Ntu rgb+d 120: A large-scale benchmark for 3d human activity understanding,.

Variational Graph Convolutional Neural Networks Ntu rgb+d 120: A large-scale benchmark for 3d human activity understanding,

Reference 44

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Observation 54c7a1f3-ac74-4abb-a778-e2785e962f88 · outbound

This paper cites Progressive spatio-temporal graph convolutional network for skeleton-based human action recog- nition,.

Variational Graph Convolutional Neural Networks Progressive spatio-temporal graph convolutional network for skeleton-based human action recog- nition,

Reference 45

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Observation ec320e8a-1c29-4690-8e06-1e57d0ddbb1e · outbound

This paper cites Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition.

Variational Graph Convolutional Neural Networks Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition

Reference 46

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Pith citing papers

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