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Paper Citation Record · LEDGER

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:1909.01084.

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

pith.paper-citation-record.v1
1909.01084 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:30:04.278944Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e12b497d-81f5-4533-bd46-32222d1ffb34 · outbound

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

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Laplacian eigenmaps and spectral techniques for embedding and clustering

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c5c2c9d4-d6c2-422b-94ab-4da9b72e041a · outbound

This paper cites Inductive representation learning on large graphs.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Inductive representation learning on large graphs

Reference 7

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9befdd10-d088-4816-bde3-a88522f57991 · outbound

This paper cites Detecting overlapping commu- nities from local spectral subspaces.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Detecting overlapping commu- nities from local spectral subspaces

Reference 8

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6d55a5ce-db7c-4a0d-9940-c54f395b792e · outbound

This paper cites Multilayer networks.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Multilayer networks

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c99d879f-1f3a-42de-88ce-5571dd067d77 · outbound

This paper cites Multi-view clustering with graph embedding for connectome analysis.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Multi-view clustering with graph embedding for connectome analysis

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 28f05b0d-57ab-4fdf-9b5a-e157c5eaf83e · outbound

This paper cites Multi-dimensional graph convolutional networks.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Multi-dimensional graph convolutional networks

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1a4fba75-52b3-44d7-9b81-b6f223cd0aaf · outbound

This paper cites Deepwalk: Online learning of social rep- resentations.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Deepwalk: Online learning of social rep- resentations

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation efee5756-332a-4c39-a41f-381ac75b2ccb · outbound

This paper cites An attention-based collaboration framework for multi-view network represen- tation learning.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding An attention-based collaboration framework for multi-view network represen- tation learning

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1948fb74-8892-4913-84fa-2c9f68002f4c · outbound

This paper cites Dynamics of large multi-view social networks: Synergy, cannibalization and cross-view interplay.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Dynamics of large multi-view social networks: Synergy, cannibalization and cross-view interplay

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d5f7aa6b-fd8c-4e94-9c59-04cc0b819311 · outbound

This paper cites Line: Large- scale information network embedding.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Line: Large- scale information network embedding

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c4c29030-7393-47e5-9016-e37340c5db3e · outbound

This paper cites Visualizing large-scale and high- dimensional data.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Visualizing large-scale and high- dimensional data

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7b8e1ab2-2ad2-40eb-a247-6b7346e61a80 · outbound

This paper cites Deep recursive network embedding with regular equivalence.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Deep recursive network embedding with regular equivalence

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 86be086c-51c4-4e74-bf15-b149b5541082 · outbound

This paper cites On deep multi-view represen- tation learning.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding On deep multi-view represen- tation learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2484818a-1548-4fc0-a699-e3546be02b38 · outbound

This paper cites Graphgan: graph representation learning with generative adversarial nets.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Graphgan: graph representation learning with generative adversarial nets

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8b07e4b5-b9a8-4eb2-b8f2-fcbd9eef21a7 · outbound

This paper cites Seqgan: Sequence generative adversarial nets with policy gradient.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Seqgan: Sequence generative adversarial nets with policy gradient

Reference 23

Resolution
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raw_fallback, observed 2026-08-14T12:30:04.366476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dd601080-8032-409c-8dc3-0bd52d6f6f3e · outbound

This paper cites Representation learning for large-scale dynamic networks.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Representation learning for large-scale dynamic networks

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 63e62d53-6c9c-4ce6-ac7f-d8d577376dae · outbound

This paper cites Arbitrary-order proximity preserved network embedding.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Arbitrary-order proximity preserved network embedding

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 756277e9-9872-4002-b3bb-b84c31396a7c · outbound

This paper cites NetGAN: Generating Graphs via Random Walks.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding NetGAN: Generating Graphs via Random Walks

Reference 2001

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 54f39906-321c-4ba0-b570-c5ef6bdeeaf3 · outbound

This paper cites Asymmetric transitivity preserv- ing graph embedding.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Asymmetric transitivity preserv- ing graph embedding

Reference 2008

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 894b2390-69f5-42ac-9cc4-0c2365d4c3fa · outbound

This paper cites node2vec: Scalable feature learning for networks.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding node2vec: Scalable feature learning for networks

Reference 2014

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d23d6e95-03f2-44d8-865c-da162da1f655 · outbound

This paper cites Zheng, Wen Wen, Yifan Yang, and Yuanmi Chen.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Zheng, Wen Wen, Yifan Yang, and Yuanmi Chen

Reference 2015

Resolution
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raw_fallback, observed 2026-08-14T12:30:04.584788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cb13eee2-25ef-478d-a76f-e8a4c8cb4369 · outbound

This paper cites Learning community embedding with community de- tection and node embedding on graphs.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Learning community embedding with community de- tection and node embedding on graphs

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:30:04.656006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 449bf714-cae2-4c8b-950c-80150b8276d1 · outbound

This paper cites Gen- erative adversarial nets.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Gen- erative adversarial nets

Reference 2017

Resolution
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no resolver link, observed 2026-08-14T12:30:04.187147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:30:04.187147Z digest=sha256:adae880d113a7c07eafdeb38b157e5c794e791d9830443c18212d9078d4bcbfe

Observation 7e0a1323-f198-41d9-88b1-2ca7ff2b5901 · outbound

This paper cites Labeling actors in multi-view social networks by integrat- ing information from within and across multiple views.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Labeling actors in multi-view social networks by integrat- ing information from within and across multiple views

Reference 2018

Resolution
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raw_fallback, observed 2026-08-14T12:30:04.671754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:30:04.178034Z digest=sha256:67792f4bca39cc395681e62c5dec69e0dbdbe0c7d03eed3094f757857b6ed916

Observation 181e7f33-c91d-4879-8096-618398ae8ca0 · outbound

This paper cites Visualizing data using t-sne.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Visualizing data using t-sne

Reference 2019

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verified fuzzy
raw_fallback, observed 2026-08-14T12:30:04.522775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.