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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

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measured 66 of 66 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

66 of 66 outbound references displayed

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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

Reference 27

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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

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

Reference 29

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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

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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

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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

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

Reference 33

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

Reference 34

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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

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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

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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.

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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.

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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.

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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=sha256:38fa81454e83c17b14786d27341db7772e4fe3dbf3e12c1d9f5b8df4dde40726

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=sha256:79330d57c4d2ef533216f5766a6ab4dfe72b664ba311610b66ea2677417860ce

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=sha256:0c889f3c3c1d8065745cd95901415d4ff062dd8d77d8c0d98d034e68f6481c46

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=sha256:925d319ecc95088e51944f87c3e231f70e0ec4d7e23c158dc21c1a560691ddbf

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:ef58f08fdc8c28a63edf1e770a3d1d0737b4cd0bb02a47c89c4fed8816535a7c

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:a5db81edacbb815c82e6a208f999547881cf1dd0fd970a29a73a2edf64841eb1

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.

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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=sha256:55e82b2cad877821b63457681900dd8b81902609a9077cb91c1bc9616497dafb

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=sha256:87386f0789fc575a7bd8a7f80fb7f13f9b3e00c15da6fe88bbbbd2947ee1f1c3

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=sha256:3b2dbf27e27da5653eefd4cea8863349a3dbe699ac7d9808085719a7658c1c70

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=sha256:2d6ececae9f768fee134037ba763eeed1ff5b134a07e0855d94400589fe0c5a2

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:e12d8b44c9e5fb827f602ff2479752f3a4c5797559f16d6de9465ca4ffdf6dbe

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.

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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:ca1043435c2310630fdb2dda65aecf02bd5942eda404a3a6db8aebb67e97e9d1

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=sha256:370134647f2ef3fa851bac7752de7d561abdd3b71e20e45d9d168a775ef4ad8e

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=sha256:5a2b74af9274026ec90edf76298cfe233ea31d7f4b66dddfcf89ec090e471051

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.

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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.

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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:aca62019c5f0a8ba586710b86334d389972409d9e072dd17707918439050484c

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.

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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.

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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:d74e3d0f2a5217e4826b84d80dba781f3d89ddb11fe579c08c2984b151c639dd

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.

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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=sha256:41454b16e6ba5451f33f199df80f6dac0914cb2d0fff84cb490d39ef294c38d2

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=sha256:1a38e26c266c50af44612a53992c2e6bf775890c720d1998e4cc08a9b5885f19

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:a0291310e903ce067e6ebb014164e964c1008fb90bfe725e4ccacd42916e69f5

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=sha256:163534cb2f7e8b6f10dfacaa60a00042baebc825dcfadd8418c48c0c040b6293

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=sha256:54857d517eac1c75541632d6748a0a618bedd7bff84423c953a70fc10b302c9e

Pith citing papers

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