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Paper Citation Record · LEDGER

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.03947.

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

pith.paper-citation-record.v1
2507.03947 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:04:06.929115Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

44 of 44 outbound references displayed

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  • verified fuzzy25
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External citation measurements

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Outbound references

Observation 845dbd86-518b-4c75-9f32-5c30e0f7c351 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

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Observation 2bfe5b38-ee85-4557-9aa8-2c7399e52687 · outbound

This paper cites Video suggestion and discovery for youtube: taking random walks through the view graph.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Video suggestion and discovery for youtube: taking random walks through the view graph

Reference 2

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Observation cc84f3a8-8cd3-4509-b47f-e7c4e35f4689 · outbound

This paper cites NetGAN: Generating Graphs via Random Walks.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs NetGAN: Generating Graphs via Random Walks

Reference 3

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Observation b85d79d8-d498-42ec-b4eb-32c1146a2dac · outbound

This paper cites Translating embeddings for modeling multi-relational data.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Translating embeddings for modeling multi-relational data

Reference 4

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Observation 2a5d4dc8-6af4-4b08-9d34-d7e1f96f9fe2 · outbound

This paper cites A comprehensive survey of graph embedding: Prob- lems, techniques, and applications.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs A comprehensive survey of graph embedding: Prob- lems, techniques, and applications

Reference 5

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Observation 14fea2b0-7ac0-475d-b888-f0553bddf2a3 · outbound

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

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Grarep: Learning graph representations with global structural information

Reference 6

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Observation 9bbb0a99-a740-43d8-af83-abfb3903a314 · outbound

This paper cites On the Relationship between Self-Attention and Convolutional Layers.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs On the Relationship between Self-Attention and Convolutional Layers

Reference 7

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Observation 3217490d-0618-4117-b085-1b8e2a061a55 · outbound

This paper cites Multi-Head Attention: Collaborate Instead of Concatenate.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Multi-Head Attention: Collaborate Instead of Concatenate

Reference 8

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Observation e2b4810e-0cdc-48d6-aaf5-e5f601a1214f · outbound

This paper cites Convolutional 2D Knowledge Graph Embeddings.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Convolutional 2D Knowledge Graph Embeddings

Reference 9

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Observation 5db983c9-d7e0-453b-a072-c032f9dd5cb7 · outbound

This paper cites Convolutional 2d knowledge graph em- beddings.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Convolutional 2d knowledge graph em- beddings

Reference 10

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Observation 9aa745c3-f2d8-468e-9a71-930b9cee39d7 · outbound

This paper cites Fast rule mining in ontological knowledge bases with amie.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Fast rule mining in ontological knowledge bases with amie

Reference 11

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Observation ce13dca7-485f-4c5d-aa38-e23f397162ed · outbound

This paper cites Introducing the Knowledge Graph: things, not strings, 2020 (accessed on August 27, 2020).

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Introducing the Knowledge Graph: things, not strings, 2020 (accessed on August 27, 2020)

Reference 12

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Observation 6d07ac66-29e7-48ae-b273-4a275d1d723d · outbound

This paper cites Graph embedding tech- niques, applications, and performance: A survey.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Graph embedding tech- niques, applications, and performance: A survey

Reference 13

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Observation d3eaadcb-52d2-4f3a-8d97-9fc419de84ef · outbound

This paper cites node2vec: Scalable feature learning for networks.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs node2vec: Scalable feature learning for networks

Reference 14

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Observation 57af573e-0117-40b1-9503-cb10ec44e4f2 · outbound

This paper cites Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs

Reference 15

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Observation 8446f5d3-3e4d-4ce9-ba18-ad46d962d080 · outbound

This paper cites Hopfield network.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Hopfield network

Reference 16

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f026a8de-2aa1-4d2d-8bb2-da5ab013a4d2 · outbound

This paper cites Anonymous Walk Embeddings.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Anonymous Walk Embeddings

Reference 17

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Observation ac89735e-50f6-4402-aa95-fdc311a64f54 · outbound

This paper cites A Survey on Knowledge Graphs: Representation, Acquisition and Applications.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs A Survey on Knowledge Graphs: Representation, Acquisition and Applications

Reference 18

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Observation b43ea082-ddf7-476c-be41-4009ce919846 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Semi-Supervised Classification with Graph Convolutional Networks

Reference 19

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Observation 340b58c9-ed6a-4cd5-9e7d-06ebb7593520 · outbound

This paper cites Object recognition with gradient-based learning.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Object recognition with gradient-based learning

Reference 20

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Observation b5cab50d-5026-46f5-8b95-1cd381d605c2 · outbound

This paper cites Makowsky.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Makowsky

Reference 21

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Source-reported events for the cited work

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Observation 5cc64427-aa13-47b1-8aa3-03bb024f27a8 · outbound

This paper cites Fine- grained evaluation of rule-and embedding-based systems for knowledge graph completion.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Fine- grained evaluation of rule-and embedding-based systems for knowledge graph completion

Reference 22

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Observation 38d1b3d1-cec2-4361-a6bc-3ccd0b920238 · outbound

This paper cites Anytime Bottom- Up Rule Learning for Knowledge Graph Completion, 2019.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Anytime Bottom- Up Rule Learning for Knowledge Graph Completion, 2019

Reference 23

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Observation 415b3d79-b1ef-4679-bd4d-19eb60b68815 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Efficient Estimation of Word Representations in Vector Space

Reference 24

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Observation e86ac7dc-6c13-4d9b-8d79-de035b25fb9e · outbound

This paper cites Hierarchical graph embedding in vector space by graph pyramid.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Hierarchical graph embedding in vector space by graph pyramid

Reference 25

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Observation fe9b575f-0651-4b47-aeff-1972c3591aa0 · outbound

This paper cites Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

Reference 26

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dbdc96d7-af55-44b7-81d2-6892a6c6e62b · outbound

This paper cites A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

Reference 27

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Observation 6ee77f95-8f51-44ed-b40a-3dd8bcbb92aa · outbound

This paper cites Memory and Attention, 2020.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Memory and Attention, 2020

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a4916292-72c0-4a87-b4d6-3dd3c59f59b2 · outbound

This paper cites Robust discovery of positive and negative rules in knowledge bases.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Robust discovery of positive and negative rules in knowledge bases

Reference 29

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0327776d-5bd5-45f9-baab-7bd7f2cf6c23 · outbound

This paper cites Deepwalk: Online learning of social representations.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Deepwalk: Online learning of social representations

Reference 30

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Observation b349a713-c645-4b6c-b308-132a8748da19 · outbound

This paper cites Stand-Alone Self-Attention in Vision Models.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Stand-Alone Self-Attention in Vision Models

Reference 31

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Observation 60211d37-1437-4d21-afda-1c3d7b3fc639 · outbound

This paper cites Knowledge Graph Embedding for Link Prediction: A Comparative Analysis.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Reference 32

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local_arxiv, observed 2026-08-06T20:04:07.260795Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 831a61d7-696e-4e5b-a092-f87b870fda8b · outbound

This paper cites Dy- namic routing between capsules.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Dy- namic routing between capsules

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 38ca8a8d-a6e8-479e-b39f-cfe39bd371da · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 34

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Observation 1b507a47-4ce2-4b4f-9207-57e62ac4b49b · outbound

This paper cites Line: Large-scale information network em- bedding.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Line: Large-scale information network em- bedding

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2ca392af-555c-4e01-912f-8f975c124b4b · outbound

This paper cites Hierarchical Multi-Scale Attention for Semantic Segmentation.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Hierarchical Multi-Scale Attention for Semantic Segmentation

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 489fb351-5596-45e7-a5a3-4440b698ab0f · outbound

This paper cites Observed versus latent features for knowledge base and text inference.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Observed versus latent features for knowledge base and text inference

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6b534a44-8ef5-4c48-b1b2-9e8a99bd3921 · outbound

This paper cites Complex embeddings for simple link prediction.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Complex embeddings for simple link prediction

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9813566c-3f9d-44e7-9906-6efdd372b05a · outbound

This paper cites The Anatomy of the Facebook Social Graph.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs The Anatomy of the Facebook Social Graph

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2c739930-c10c-491a-8c22-585216975a56 · outbound

This paper cites Attention is all you need.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Attention is all you need

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:04:08.884616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3ae994fb-4ea4-4db8-8d63-30364fceda8b · outbound

This paper cites Graph Attention Networks.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Graph Attention Networks

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:06.574563Z digest=sha256:80c58a7b41bb923364885b99def5168d9527e55f16560b8a2912b810b4082062

Observation 6e76002d-445b-4d20-a32b-25ec6594d124 · outbound

This paper cites A capsule network-based embedding model for knowl- edge graph completion and search personalization.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs A capsule network-based embedding model for knowl- edge graph completion and search personalization

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c4be68fe-abc6-432d-9902-8ab05d690c84 · outbound

This paper cites Structural deep net- work embedding.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Structural deep net- work embedding

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T20:04:06.787983Z digest=sha256:0c457bef32daf99c6d89339d0b837b760c8d801127fa38c2c99a603a78b361ee

Observation a8fba5b7-620b-4eca-8860-d284239230d8 · outbound

This paper cites Xlnet: Generalized autoregressive pretraining for language understanding.

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs Xlnet: Generalized autoregressive pretraining for language understanding

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:04:08.098338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.