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Paper Citation Record · LEDGER

Variational Graph Convolutional Neural Networks

As of 22 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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measured 46 of 46 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

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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Observation 50b22487-21b1-4102-89ae-e51de7ef4611 · outbound

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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Observation 232b5c50-4cff-49dd-973c-6e2d0bdc8bf2 · outbound

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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Observation 071ca7ba-bc5d-45a7-a951-134b0360afcc · outbound

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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Observation 0ce964ef-34c3-4c71-8b82-eefdc2d63b78 · outbound

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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Observation 14647132-9c32-4917-8722-4768db4a3d5b · outbound

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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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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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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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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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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Observation 8ed1f829-814a-482f-ac8e-9bb64b6bf529 · outbound

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

Reference 29

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

Reference 30

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

Reference 31

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

Reference 32

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Variational Graph Convolutional Neural Networks The Kinetics Human Action Video Dataset

Reference 33

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

Reference 34

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This paper cites Auto-Encoding Variational Bayes,.

Variational Graph Convolutional Neural Networks Auto-Encoding Variational Bayes,

Reference 35

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Observation 1f4c2ad7-4581-4160-af97-b4d7670eada1 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:45.828871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 86feb657-8a54-473a-82e4-3ba3ec09f322 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:45.558984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:42.711481Z digest=sha256:aa04ac39e4aefda9d371f4501d6aac932fb18dcd70919ff4b6a3f4ec100b65b6

Observation b26f479c-2b30-4b42-a79d-7b2485155e6f · outbound

This paper cites An innovative neural network approach for stock market prediction,.

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

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:45.347406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:42.845469Z digest=sha256:11a15bfa14b26a9839d7be3a26b97fff6b65c141f5b50f8faebcadc3a26684e2

Observation 1adfcc4f-528a-4106-ace4-797d371f7e1c · outbound

This paper cites Deepinf: Social influence prediction with deep learning,.

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

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:45.135734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:42.948440Z digest=sha256:9fc1e1921cda6df97c438181b7dab3ae490ce22db9caa2b5967490ee9f8dd20b

Observation d2feff1c-cfb4-47b9-9843-eb100b3aa285 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:44.927339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:43.043795Z digest=sha256:1ef6cec306fe4400067efd686d596bcb4d45e1e047852c7dd2f23bb549a99d20

Observation 64cd0cb2-8c94-4106-be8e-3b2ad2e59427 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:44.793120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:43.125749Z digest=sha256:74d36f17e06d6e579f84962179ae0a65a0af18992db77d8a449dbfb6da782031

Observation cf9cf92a-5265-433b-9651-a098694e7a9c · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:44.581696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:43.183491Z digest=sha256:0c600b4afe2542a04ab2dc69aad8c4ef72394b2fead0b60f476689b47bb6f586

Observation 8e8e3097-b48b-46c6-8b52-31b61dc5f33f · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:44.388932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:43.248563Z digest=sha256:19394c7cabbad786a43b1d9828a6974aeb1b73085e0eafeffcc9601e495b099e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:44.153671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:43.402289Z digest=sha256:803631eea86d3921a24dabad6ec014f4384d958c8c93ba08da24de978a26bb76

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:49:43.885500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:49:43.544193Z digest=sha256:5d17a442513187917e375329e0d1c0d332b2d7015f103cae2d90bff748b114c7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:49:43.658141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:49:43.658141Z digest=sha256:11e5d171dd057bf69b241453d4c4ad3977d8f841c025643267b27b26265e2e75

Pith citing papers

No inbound Pith citation observations are available.