Paper Citation Record · LEDGER

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:1908.02441.

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

pith.paper-citation-record.v1
1908.02441 v1

Coverage vector

measured 39 of 39 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-14T14:51:42.057261Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 2033f863-1ccc-4778-bbe7-c67b4d81bcc7 · outbound

This paper cites Laplacian eigenmaps and spectral techniques for embedding and clustering.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Laplacian eigenmaps and spectral techniques for embedding and clustering

Reference 1

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Observation bd6f33fb-4bfe-4795-a33a-588921e47def · outbound

This paper cites Geometric deep learning: going beyond euclidean data.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Geometric deep learning: going beyond euclidean data

Reference 2

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Observation 17ef49d5-79e3-484c-8639-8721c92a6e32 · outbound

This paper cites Deep neural net- works for learning graph representations.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Deep neural net- works for learning graph representations

Reference 3

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Observation 892a150e-07d4-4984-8e00-effb35f9688f · outbound

This paper cites Relational topic models for document networks.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Relational topic models for document networks

Reference 4

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Observation 5022e6f5-c1d4-4bc5-a11a-ca149fa8909d · outbound

This paper cites Spectral graph the- ory.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Spectral graph the- ory

Reference 5

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Observation 1c30bff0-2d96-46f5-bc96-8a69c0f5247b · outbound

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

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Convolutional neural networks on graphs with fast localized spectral ﬁltering

Reference 6

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Observation 2e707074-90d8-483b-a26c-f651cdcdcbab · outbound

This paper cites Convolutional networks on graphs for learn- ing molecular ﬁngerprints.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Convolutional networks on graphs for learn- ing molecular ﬁngerprints

Reference 7

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Observation 4e582510-2f6c-41f0-b216-2ef0196e28bd · outbound

This paper cites From few to many: Illumination cone models for face recognition under variable lighting and pose.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning From few to many: Illumination cone models for face recognition under variable lighting and pose

Reference 8

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Observation 79165ac3-5c7b-41c0-923a-48ff28c9ec33 · outbound

This paper cites On the asymptotic spectrum of random walks on inﬁnite families of graphs.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning On the asymptotic spectrum of random walks on inﬁnite families of graphs

Reference 9

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Observation 8427465d-0cc5-457e-bc04-aec2400d2343 · outbound

This paper cites Wavelets on graphs via spectral graph theory.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Wavelets on graphs via spectral graph theory

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:51:42.537304Z

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Observation d8947e0a-3bd3-49ee-bf93-2d2c5a72a8b1 · outbound

This paper cites Deep subspace clustering networks.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Deep subspace clustering networks

Reference 11

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Observation a5f163c5-949f-45c7-b585-2e3217643ba0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Adam: A Method for Stochastic Optimization

Reference 12

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Observation 63ce8bec-00a8-47d8-a7a8-427363703680 · outbound

This paper cites Variational graph auto- encoders.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Variational graph auto- encoders

Reference 13

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Observation 2ab4eadd-12f9-402b-80b1-3c9e360a878a · outbound

This paper cites Kipf and Max Welling.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Kipf and Max Welling

Reference 14

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Observation 019425d6-f2cf-4d7c-8c1e-7dac518b1d60 · outbound

This paper cites Life in the network: the coming age of computational social science.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Life in the network: the coming age of computational social science

Reference 15

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Observation 44e94af2-3c62-40ea-af9f-e95e041160df · outbound

This paper cites The mnist database of handwritten digits.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning The mnist database of handwritten digits

Reference 16

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Observation 979581bf-f0d2-4e61-8655-c4369d86a787 · outbound

This paper cites Learning to discover social circles in ego networks.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Learning to discover social circles in ego networks

Reference 17

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Observation 36d3f1ec-511b-4867-ab58-ab0b91508894 · outbound

This paper cites Note on the normalized laplacian eigenvalues of signed graphs.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Note on the normalized laplacian eigenvalues of signed graphs

Reference 18

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Observation 73ddcbfe-1dac-4da8-a597-c13256516b16 · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learn- ing.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Deeper insights into graph convolutional networks for semi-supervised learn- ing

Reference 19

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Observation dcc6ba37-b6ad-4de5-b331-d2e6e4ae3645 · outbound

This paper cites Deformable Shape Completion with Graph Convolutional Autoencoders.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Deformable Shape Completion with Graph Convolutional Autoencoders

Reference 20

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This paper cites Least squares quantization in pcm.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Least squares quantization in pcm

Reference 21

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Observation eb63fdb1-9dad-4d8a-a721-462cf945c263 · outbound

This paper cites Robust and efﬁcient subspace segmentation via least squares regression.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Robust and efﬁcient subspace segmentation via least squares regression

Reference 22

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Observation 1c45ba74-680d-4404-be9e-6766accc9137 · outbound

This paper cites Visualiz- ing data using t-sne.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Visualiz- ing data using t-sne

Reference 23

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Observation 72bc894d-a49e-40ef-b149-70ba17da2549 · outbound

This paper cites Ge- ometric matrix completion with recurrent multi-graph neural networks.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Ge- ometric matrix completion with recurrent multi-graph neural networks

Reference 24

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Observation 5bcb0455-8b52-460a-8e86-ad5202bf451b · outbound

This paper cites Columbia object image library (coil-20).

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Columbia object image library (coil-20)

Reference 25

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Observation 1fe09d03-feff-4c32-9294-623875cccc84 · outbound

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

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning On spectral clustering: Analysis and an algorithm

Reference 26

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Observation 16e5e185-427e-4805-859e-6286f8bea3e4 · outbound

This paper cites Adversarially regularized graph autoen- coder for graph embedding.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Adversarially regularized graph autoen- coder for graph embedding

Reference 27

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This paper cites Deep- walk: Online learning of social representations.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Deep- walk: Online learning of social representations

Reference 28

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Observation d85e669a-058e-42d3-beeb-90eb3c4ccae0 · outbound

This paper cites Collective classiﬁca- tion in network data.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Collective classiﬁca- tion in network data

Reference 29

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Observation c61d320e-aced-4611-9d9a-2d44bc7d6d73 · outbound

This paper cites Normalized cuts and image segmentation.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Normalized cuts and image segmentation

Reference 30

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Observation 105b80a0-31e0-4701-9a4a-382522ae8e5b · outbound

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

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning The emerging ﬁeld of sig- nal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:51:42.258621Z

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Observation b05e94e7-7626-44cb-8c47-b3d73d8e8505 · outbound

This paper cites A signal processing approach to fair surface design.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning A signal processing approach to fair surface design

Reference 32

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Observation 00a0cc20-7d16-46c0-a123-8e4f306712e7 · outbound

This paper cites Learning deep representations for graph clustering.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Learning deep representations for graph clustering

Reference 33

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Observation 24daa29c-2967-4880-b851-3dd5aefebd29 · outbound

This paper cites Subspace clustering.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Subspace clustering

Reference 34

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Observation 49886016-7bdd-44ba-bb71-366072968ed1 · outbound

This paper cites Mgae: Marginalized graph autoencoder for graph clustering.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Mgae: Marginalized graph autoencoder for graph clustering

Reference 35

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Observation d9b4137c-d73e-4f43-ab4e-124523626588 · outbound

This paper cites Robust multi- view spectral clustering via low-rank and sparse decomposi- tion.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Robust multi- view spectral clustering via low-rank and sparse decomposi- tion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:51:42.179759Z

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Observation b11f4f4a-a53b-46e4-a60f-587f9d30c55c · outbound

This paper cites Network representation learning with rich text information.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Network representation learning with rich text information

Reference 37

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Observation 0f57fe35-601b-4ce8-b82e-84ce850e3642 · outbound

This paper cites Overlapping community detection at scale: a nonnegative matrix factorization ap- proach.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Overlapping community detection at scale: a nonnegative matrix factorization ap- proach

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:51:42.149494Z

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Observation ed38a69f-b0db-410e-9f18-fcbc7b725f30 · outbound

This paper cites Deep adversarial subspace clustering.

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Deep adversarial subspace clustering

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:51:42.134153Z

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Pith citing papers

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