Pith. sign in

Paper Citation Record · LEDGER

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution

As of 20 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:1909.01541.

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

pith.paper-citation-record.v1
1909.01541 v4

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:18:09.234078Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

66 of 66 outbound references displayed

  • verified exact0
  • verified fuzzy58
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3dde247-dc0c-4586-8d60-52cbc5842c9c · outbound

This paper cites Node classifica- tion in social networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Node classifica- tion in social networks,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.833044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.021665Z digest=sha256:40786c12380c86f59f3aef625386f162490ebd359c9e72c5db5262834a8fe4e1

Observation 1fc3f32c-29e2-452c-b19b-17cf63ceaa19 · outbound

This paper cites Small Sample Learning in Big Data Era.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Small Sample Learning in Big Data Era

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:09.025271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:18:09.025271Z digest=sha256:b81d892f1dc586c296ce2c8683d574a74be4d6aa5eebc8852e804c8567c97918

Observation 073648be-052f-4b20-a8bc-306f52914451 · outbound

This paper cites Transfer learning across networks for collective classification,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Transfer learning across networks for collective classification,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.823367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.029827Z digest=sha256:b59257ed4057b32fc6133c877224f469a9e384aa62b0228e6319a886ac9d2eec

Observation 0b25dda6-40ad-49ef-90e0-7135a8de8f82 · outbound

This paper cites Network Together: Node Classification via Cross network Deep Network Embedding.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Network Together: Node Classification via Cross network Deep Network Embedding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:09.034002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:18:09.034002Z digest=sha256:b78c44196a7224c83ae72738d6a3a2ab244bc0a9d15d7497e11f93ee52d1d956

Observation 8d1a8ab5-a69b-4ee2-904f-5070ec03400c · outbound

This paper cites Deepwalk: online learning of social representations,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Deepwalk: online learning of social representations,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.814321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.038117Z digest=sha256:bf78d496f52fbea2741f1c5181e3972e83513bd8ce74865499ca62c8d6f19fde

Observation c1855fa7-0c8f-49bb-845b-a6b84a5b8c6c · outbound

This paper cites LINE: large-scale information network embedding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution LINE: large-scale information network embedding,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.804366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.041730Z digest=sha256:f4ce4c63f8c17544db3e29b5776ed9a95504b6c1974e8dc3b115e4d7772eccc8

Observation 5a8d7e2d-7183-4c8d-a5b4-be0ebca575ca · outbound

This paper cites node2vec: Scalable feature learning for networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution node2vec: Scalable feature learning for networks,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:09.045191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:18:09.045191Z digest=sha256:fa9b0677adadf04897ccbc255489e31b430ed858cdb655e20966f36519c68a3a

Observation c1d47d27-a258-48e2-a461-1f1606f5f99c · outbound

This paper cites On generalizing neural node em- bedding methods to multi-network problems,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution On generalizing neural node em- bedding methods to multi-network problems,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.789550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.048427Z digest=sha256:dcb6bda96749ac6ca985e5850cec29ebfa8584e7b36e9c21dcf1bf30a99f8ba5

Observation 1f189293-e10b-4aa7-b059-7b97ab49de4a · outbound

This paper cites Revisiting semi- supervised learning with graph embeddings,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Revisiting semi- supervised learning with graph embeddings,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.779800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.052099Z digest=sha256:a8169a0013e6d85dd1048c73cc2857a57ba6306d2623a45bee32cfc01d5e2944

Observation b840b717-5af6-4d2d-baeb-9a20da32d9eb · outbound

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

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Semi-supervised classification with graph convolutional networks,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.769321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.055291Z digest=sha256:3ec5556b0e402b7086479c6813dbfb1550f29b120e573bc6f3558c63942852f9

Observation dace1b4d-ab07-4e4e-947e-66adc8da7997 · outbound

This paper cites Inductive representa- tion learning on large graphs,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Inductive representa- tion learning on large graphs,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.759464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.057839Z digest=sha256:d5a0a01e9fc53c97aeccf69fb26aa0ca5b401b94f0a7459a5d86543c072dadb2

Observation 0a8ee58f-4678-4cda-b38f-8773c57a8266 · outbound

This paper cites Graph attention networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Graph attention networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.750666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.060612Z digest=sha256:d9976c9b341090f646bbb231059a8716ed7ca7de53fa03d04912b1b290346c20

Observation 7980078a-20f6-4045-b42e-4ee07a06c445 · outbound

This paper cites Co-regularized deep multi-network embedding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Co-regularized deep multi-network embedding,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.742062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.064668Z digest=sha256:25d70c7a71bd33d5ad8f36fcb2a1976a6da03769295de3dd0f7691a88aee5672

Observation 1eaeae8c-e366-41f5-a412-8f5a5ea88cb5 · outbound

This paper cites Embedding of embedding (EOE): joint embedding for coupled heterogeneous networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Embedding of embedding (EOE): joint embedding for coupled heterogeneous networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.731149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.068315Z digest=sha256:f7ad10f15d0dc72c422b28554a33ffdea92c2b715f70313c720b0e16779a03db

Observation 6f158e0e-70a0-460c-a48f-78e1bee46ce5 · outbound

This paper cites A survey on transfer learning,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution A survey on transfer learning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.720619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.072605Z digest=sha256:d631dd8d0d1dadc65f9ec1ca25353c5745d5ec17629ff6b44933d7a70579da6f

Observation 5a8c6b34-3416-40d5-8e87-f4a3204dded7 · outbound

This paper cites Deep visual domain adaptation: A survey,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Deep visual domain adaptation: A survey,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:09.076424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:18:09.076424Z digest=sha256:08fa5ea2fc2d27dbea9465468ca36e1403d790a12e02bca9ffdaa0d8fe6c7ef4

Observation 5e01e948-38ce-47fd-97aa-18f1dd943fab · outbound

This paper cites Domain- adversarial training of neural networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Domain- adversarial training of neural networks,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.706685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.080181Z digest=sha256:ab8f2b13fafc0ff4036ba87770ee65bb7419138067ad321c625b5178ba635293

Observation 8c14a9f6-da56-42d2-aacd-d3ffc07b6a90 · outbound

This paper cites Wasserstein distance guided representation learning for domain adaptation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Wasserstein distance guided representation learning for domain adaptation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.697486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.083732Z digest=sha256:e52b20c60e65eca0c9d363774037eb8468a6a68b47ff3f6833a750b98bd7cd33

Observation 05d82794-5263-4b32-b224-2c8853d16d4e · outbound

This paper cites Label efficient semi- supervised learning via graph filtering,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Label efficient semi- supervised learning via graph filtering,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.687202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.086818Z digest=sha256:0adfa52ecdba879b98fb8bc1e957c0be6a27e45b67adeeafdfe5086b0f724938

Observation 99f0e528-6e74-46e2-bd9f-0f14aaca0fcf · outbound

This paper cites Generative adversarial nets,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Generative adversarial nets,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:09.090427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:18:09.090427Z digest=sha256:46c2cd64edaa3979a38d8152d796c67ef34ff1cd5a80269e4b3b5db1b91bc5ca

Observation b0dab39b-1ada-479a-a5cf-500fcf2256e5 · outbound

This paper cites Grarep: Learning graph representations with global structural information,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Grarep: Learning graph representations with global structural information,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.672836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.093479Z digest=sha256:ea54d8846629c61ce40fb4a2721664735090e31dac773730c38bd987920b3482

Observation 04ae2eec-1850-4b97-b124-c7cbb7b58b20 · outbound

This paper cites Community preserving network embedding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Community preserving network embedding,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.664145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.096045Z digest=sha256:7dc0df460eea5cd031d4a173bd4da97668fbdc3b3a16a6cdba0c28d21629f258

Observation 1fabcefc-6ea9-4dbe-aee8-2faf0a02d279 · outbound

This paper cites Deep neural networks for learning graph representations,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Deep neural networks for learning graph representations,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.654206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.099418Z digest=sha256:97975fdeb3543ba0e2c8d12f38940012ad28591997f136c86af166ba81e99a06

Observation bb8b52ca-f141-4bf3-aad5-99dd637df553 · outbound

This paper cites Structural deep network embed- ding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Structural deep network embed- ding,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.645496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.102625Z digest=sha256:0193b566d9edf6eb4361ff3d1045ce203188dad99265646b28844926fdf6d7c3

Observation 0416a6b9-42fb-4dfe-8dd3-e439cc7c8095 · outbound

This paper cites Deep network embedding with aggregated proximity preserving,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Deep network embedding with aggregated proximity preserving,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.637240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.105774Z digest=sha256:13c3b2ca5f3cba450db35e5f0b0a6971755db1d801a239b7e6554df68765af84

Observation e81a363a-29b4-436e-a794-7517b0d739a5 · outbound

This paper cites Deep network embedding for graph representation learn- ing in signed networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Deep network embedding for graph representation learn- ing in signed networks,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.627793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.109083Z digest=sha256:44ca02f3b467beed403fbfe2411971370ffb4a44e8baa530a2967356562724f8

Observation f9459dcb-e1c0-4aa1-8da0-923f01043be0 · outbound

This paper cites Adversarial network embed- ding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Adversarial network embed- ding,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.618454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.112015Z digest=sha256:605d97eb8b6b1e12b3bb0d74abaed9accaa7c79bc9cade879a2ad5cdef71f118

Observation c9b77aa2-f745-48d3-b80b-18b336b934a3 · outbound

This paper cites Adver- sarially regularized graph autoencoder for graph embedding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Adver- sarially regularized graph autoencoder for graph embedding,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.610453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.115510Z digest=sha256:6881d5a00af79934f0a6e4367f0aa5c8898f75bedefee2f07481908c92a76033

Observation 4ed6a87c-93d2-4d4d-9d19-e029549cdbd2 · outbound

This paper cites Adversarial training methods for network embedding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Adversarial training methods for network embedding,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.600605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.118970Z digest=sha256:84c67ea594a9d0fc764849fcbb2702284109d4f3dcd52e8aaf2206df91021d25

Observation f09df2a4-a912-4b00-9e25-51d34f05ce76 · outbound

This paper cites ANRL: attributed network representation learning via deep neural networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution ANRL: attributed network representation learning via deep neural networks,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.591440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.121374Z digest=sha256:37139b9ba50b072dc074a941eab826f384d5fb7fe338172a4551ffbf0cd6cc46

Observation d60cf246-5f82-46ce-958c-24009da2fe44 · outbound

This paper cites On exploring semantic meanings of links for embedding social networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution On exploring semantic meanings of links for embedding social networks,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.580909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.123627Z digest=sha256:9047d4f50e9a2710083dd33087b34e69841ba63daa92224b51e3e0ebda9d5bb4

Observation 8566fc03-971b-49ca-adbb-55b788ae77ef · outbound

This paper cites Max-margin deepwalk: Discriminative learning of network representation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Max-margin deepwalk: Discriminative learning of network representation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.572372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.126651Z digest=sha256:6626fcb2842bc98d98c53a2d803d40247e7ee1cc879c7198eadd2619a6cfe38a

Observation 70a5317c-fd08-4e2b-93be-6eeef4b3ed61 · outbound

This paper cites Tri-party deep network representation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Tri-party deep network representation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.563044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.129130Z digest=sha256:0dbdf40a7dd2fef3c63afe9ff8e540f0cc14302e231e5d041f3ded17db2e41d4

Observation 408fe2cd-b24e-464d-82cd-dd6ab3526cc5 · outbound

This paper cites Label informed attributed network embedding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Label informed attributed network embedding,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.554613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.132565Z digest=sha256:ffa5e7d1ad6efbfb9e0836ec5def956d86824858e89eb3269e3688bdc2816b54

Observation e3eacb41-7a51-4590-b7cb-0d39271c66c5 · outbound

This paper cites Semi-supervised embedding in attributed networks with outliers,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Semi-supervised embedding in attributed networks with outliers,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.546716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.135972Z digest=sha256:16c1fa1e7c74a00f298b61693cb9bcc8931330c967743d1896e03b8a042db383

Observation 960282ea-46d9-4cd6-9824-2c126b380e15 · outbound

This paper cites Aligning users across social networks using network embedding,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Aligning users across social networks using network embedding,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.538477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.138898Z digest=sha256:278661325eb2117ca4e7384d8e9d18b016ac2d30375621404fde58be91cb2584

Observation 07f8e5fd-d10b-4b3e-888d-29ce82a099ac · outbound

This paper cites REGAL: rep- resentation learning-based graph alignment,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution REGAL: rep- resentation learning-based graph alignment,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.530023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.142031Z digest=sha256:fa77ab26369d263d594578117563e98d5e20df07ed12d53dd1e28465f36e2ae9

Observation ba9a26be-737d-4f5e-a9a7-989dc8330d0a · outbound

This paper cites Inferring social ties across heterogenous networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Inferring social ties across heterogenous networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.520335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.145277Z digest=sha256:d02d64c5d22548ff7b26726a88f5eca7513ced24420ba8c344faf8cf15ec48c0

Observation 5cde4ef2-b948-420f-bcaf-c877cdb0a3d3 · outbound

This paper cites Leveraging cross-network in- formation for graph sparsification in influence maximization,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Leveraging cross-network in- formation for graph sparsification in influence maximization,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.510897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.148945Z digest=sha256:2e310a797068124984adac0633fcc57cf77de41732150c7963928debb9c81a73

Observation 0cb057d1-ee1a-41e6-854d-0003d6d874dd · outbound

This paper cites Cross-network learning with fuzzy labels for seed selection and graph sparsification in influence maximization,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Cross-network learning with fuzzy labels for seed selection and graph sparsification in influence maximization,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.500787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.152316Z digest=sha256:9c4ad99bdd40460282629ffdce7bd982bfc4271b8edd4cdff4ef5f04cae8c574

Observation 66b574b0-0948-4d7d-ac41-2e82ffdd0517 · outbound

This paper cites Predicting positive and negative links in signed social networks by transfer learning,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Predicting positive and negative links in signed social networks by transfer learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.491686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.155275Z digest=sha256:5ec093be61927caadc0e5c40965572e87fc7dd514ded10512078fd21af682031

Observation 5602d6ff-4756-4f2c-832c-4d9a1442cd0b · outbound

This paper cites Transfer learning for deep learning on graph-structured data,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Transfer learning for deep learning on graph-structured data,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.482337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.158203Z digest=sha256:95c58a839fba3ad404fb255db57ab1c58543520449c116c698011167f28d9a66

Observation 2729471f-a746-42f9-8c6f-e5e96d2940b9 · outbound

This paper cites Distant domain transfer learning,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Distant domain transfer learning,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.473203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.161999Z digest=sha256:90f534b5730129214d3bfb23c7a6299e786c5195cdfa7ebda13790aecd9b24d3

Observation 588d5b75-9688-4de4-912b-acfeb904914c · outbound

This paper cites Beyond Sharing Weights for Deep Domain Adaptation.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Beyond Sharing Weights for Deep Domain Adaptation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:09.165293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:18:09.165293Z digest=sha256:2c8d64f746e70eb50af6dcc492350854b381c7ed07d96ce48ed54ea7418b4a9a

Observation d69e6acf-dd63-459a-bca1-73e1acd2b984 · outbound

This paper cites Learning transferable features with deep adaptation networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Learning transferable features with deep adaptation networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.464794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.168643Z digest=sha256:bf852a9934d17c168ae64198e0c876f70acbd6f71155a6c0ac011e1c3df46f54

Observation afa4f7df-22c3-4688-a96e-7db2468bdcdf · outbound

This paper cites Deep CORAL: correlation alignment for deep domain adaptation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Deep CORAL: correlation alignment for deep domain adaptation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.456661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.171124Z digest=sha256:098b4f3c129fab5a700841c620681fd8e29ba92b57e6db51002f84f90067ab1f

Observation 9d6771e0-06f7-44a8-8439-2a64001533b8 · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Deep Domain Confusion: Maximizing for Domain Invariance

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:09.173620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:18:09.173620Z digest=sha256:93e0181d7b02c6b7d8105e7a3ea999141c5d264fbf67b5839a9d1dc3c7852296

Observation ee13e845-4aec-4d57-90d6-49eae8fe1d30 · outbound

This paper cites Supervised rep- resentation learning: Transfer learning with deep autoencoders,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Supervised rep- resentation learning: Transfer learning with deep autoencoders,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.447061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.176794Z digest=sha256:0777443741b90316f7ae84118e79e6dbd3444dc56f5909cc3fbef5d908d4e161

Observation cb7a545c-ea8c-45b1-ac07-e8095045ffdc · outbound

This paper cites Learning to discover cross-domain relations with generative adversarial net- works,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Learning to discover cross-domain relations with generative adversarial net- works,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.438774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.180221Z digest=sha256:d486e021f5deff68d766b114335b31b6e94a526c07c11f0c212056555a4890f5

Observation 2f95e818-f07c-4c7b-85c9-9321b5e3284f · outbound

This paper cites Adversarial discriminative domain adaptation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Adversarial discriminative domain adaptation,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:09.183525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:18:09.183525Z digest=sha256:4257d12d1b5b62f942e594738404ffb079e3bfcce5d434d0b63965825d19cbfb

Observation 1066e476-e8a2-40b8-af8e-a27a4f256ee1 · outbound

This paper cites Multi-adversarial domain adaptation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Multi-adversarial domain adaptation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.425033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.187366Z digest=sha256:6e9c0823f1f523b4d438dd3b121c459883ad52c9d85dc71066d5d7edb18f3fae

Observation 4aa4ef17-eabc-4759-85b2-b55aac645dd5 · outbound

This paper cites Conditional adver- sarial domain adaptation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Conditional adver- sarial domain adaptation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.415806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.190858Z digest=sha256:c11ef8d81879ce1f3afe8fba77a068d35d944263d23ec5d9ea03f6a173d7a719

Observation cb0256c1-2051-4746-81ff-6ec1ce444d87 · outbound

This paper cites Analysis of representations for domain adaptation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Analysis of representations for domain adaptation,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.407181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.194533Z digest=sha256:56249eb46fd1ffd5543e1e3b7946ea1e65dc922ea843d26cc11fd5dae1d1a842

Observation 8c29d76a-8f43-4e66-b473-82a4471a6bb8 · outbound

This paper cites A theory of learning from different domains,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution A theory of learning from different domains,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.399240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.197507Z digest=sha256:98e854942f66e187ba5ba3703fcd0ac6e6329a97291f897973de8e5a27beacf0

Observation dbdc97f1-af06-4db8-b721-3f028fab3ea3 · outbound

This paper cites Attributed graph clustering via adaptive graph convolution,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Attributed graph clustering via adaptive graph convolution,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.391553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.200503Z digest=sha256:f88113b51d4a7f80e15ba5fccefa32613dd4e282d8549a5fa99d400e4669c455

Observation 462b62b3-63f8-40c6-9339-35e6e529c2bf · outbound

This paper cites Graph neural networks for social recommendation,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Graph neural networks for social recommendation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.383390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.203647Z digest=sha256:9529dfc6ceb67156429c1c727aff99569fded67d501d59799803671bb237aed5

Observation 1e87ecb5-2b1a-4d01-8cf9-7f5ea4fae0ed · outbound

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

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.374570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.206757Z digest=sha256:844af7c67aab018cf033f61c60342fac02e6983406ed73e12c84f18ae03ae41e

Observation b4016f77-e0a6-4864-8624-0fe1bc6c0bcb · outbound

This paper cites Discrete signal processing on graphs,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Discrete signal processing on graphs,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.366105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.209342Z digest=sha256:aca33b3bd0869721d32b487f95bc24a2d64f3d2b15228d663e6dd2ee12548941

Observation 741679ce-db23-42dd-b3f5-534df224272a · outbound

This paper cites Deeper insights into graph convolu- tional networks for semi-supervised learning,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Deeper insights into graph convolu- tional networks for semi-supervised learning,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.357402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.211966Z digest=sha256:74d6e1d9fdca7d3029901db2d92aef33c41d8ae463e0a5043d9a42178f74d124

Observation c9c14abf-2d42-4541-b279-c56ea5c13c4d · outbound

This paper cites Wasserstein generative adversarial networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Wasserstein generative adversarial networks,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.348612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.215029Z digest=sha256:7b43ed8ee05681addc8fa5f3f00f680d12f8fc6e98bcaf2524e6bfaa3b6b21f4

Observation 521226b6-6e70-4007-ba6a-ac2d54cd3f7f · outbound

This paper cites Improved training of wasserstein gans,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Improved training of wasserstein gans,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.340594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.219086Z digest=sha256:dd7342e05b3a5d39efa1e59363079ec685b81fb1ab78573d3beacddb0264a757

Observation c69be6a0-9976-4774-9299-18d8e089da13 · outbound

This paper cites Villani, Optimal transport: old and new.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Villani, Optimal transport: old and new

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.331116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.222313Z digest=sha256:7f0fb74ff65eb89fd0ebfcdc679f05f43821caa8b8575a40436266bd78f690fc

Observation 90be83f2-e964-4255-a459-3d34393005fd · outbound

This paper cites Stochastic training of graph convo- lutional networks with variance reduction,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Stochastic training of graph convo- lutional networks with variance reduction,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.322517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.225458Z digest=sha256:2030891964af6e02f1f417949c9d2f241699803f7493bece6ec32fbeee2b4e1e

Observation e7aa0130-2209-43c9-8f6b-c3523f9240bd · outbound

This paper cites Fastgcn: Fast learning with graph convolutional networks via importance sampling,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Fastgcn: Fast learning with graph convolutional networks via importance sampling,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.313309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.228457Z digest=sha256:0b26d1f24e2c757b087aa07b3612b0b8698ab4d2ecafa0fef645597e36cd1de3

Observation 9b9858ad-443c-4fa6-a80b-257fb2b0f66e · outbound

This paper cites Arnetminer: extraction and mining of academic social networks,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Arnetminer: extraction and mining of academic social networks,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.303932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.231355Z digest=sha256:7f51282d2b1daf7132f9db34507d509cea665ca494deafb604c98a9c17a12c49

Observation 7a2ea3f0-8e63-4260-aa16-e370a62cee0a · outbound

This paper cites Visualizing data using t-sne,.

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Visualizing data using t-sne,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:18:09.293712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:18:09.234078Z digest=sha256:812d47d74d07fffade530ea49f9592b5f81e478a8c059f098aca87bba1eaba87

Pith citing papers

No inbound Pith citation observations are available.