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Paper Citation Record · LEDGER

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion

As of 5 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.05639.

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

pith.paper-citation-record.v1
2606.05639 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T02:26:06.984348Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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  • unresolved43
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Outbound references

Observation d979a86f-2dde-40b2-a257-40109b9e6b9f · outbound

This paper cites Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery

Reference 1

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Observation 4e2e79b5-0fd7-40e7-8fa6-7ec4e19a6fea · outbound

This paper cites Knowledge enhanced representation learning for drug discovery.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Knowledge enhanced representation learning for drug discovery

Reference 2

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Observation 4e4dd197-88e5-4fe6-8c0c-b2d9b56d3ded · outbound

This paper cites Reckg: Knowledge graph for recommender systems.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Reckg: Knowledge graph for recommender systems

Reference 3

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Observation 92952cc4-53ad-4053-9791-a86af1357e17 · outbound

This paper cites Bridging the user-side knowledge gap in knowledge-aware recommendations with large language models.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Bridging the user-side knowledge gap in knowledge-aware recommendations with large language models

Reference 4

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Observation caa86798-beb4-4f83-876c-4feae5309506 · outbound

This paper cites D-RAG: Differentiable retrieval-augmented generation for knowledge graph question answering.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion D-RAG: Differentiable retrieval-augmented generation for knowledge graph question answering

Reference 5

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Observation c5d69635-aff5-44fb-a8ed-f856901ad3db · outbound

This paper cites Reasoning with trees: Faithful question answering over knowledge graph.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Reasoning with trees: Faithful question answering over knowledge graph

Reference 6

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Observation 2862f34f-86c0-4a35-b891-8706e465cd93 · outbound

This paper cites Talukdar.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Talukdar

Reference 7

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Observation c2f773bc-d157-47c0-b1a3-c2b9822e2ae7 · outbound

This paper cites RAGAT: relation aware graph attention network for knowledge graph completion.IEEE Access, 9:20840–20849, 2021.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion RAGAT: relation aware graph attention network for knowledge graph completion.IEEE Access, 9:20840–20849, 2021

Reference 8

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Observation 2a0051b6-4919-44a8-9b15-00c6d80849b5 · outbound

This paper cites Knowledge graph reasoning with relational digraph.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Knowledge graph reasoning with relational digraph

Reference 9

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Observation fda4729c-af01-4c47-a6ee-f026c0a15b9a · outbound

This paper cites Diffusione: Reasoning on knowledge graphs via diffusion-based graph neural networks.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Diffusione: Reasoning on knowledge graphs via diffusion-based graph neural networks

Reference 10

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Observation a5621ce7-73d0-4d52-bcd4-aa7e29d8a428 · outbound

This paper cites DRUM: end-to-end differentiable rule mining on knowledge graphs.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion DRUM: end-to-end differentiable rule mining on knowledge graphs

Reference 11

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Observation e0e8e3a8-2ba9-4194-87f1-d8e70a7c8481 · outbound

This paper cites Dynamically pruned message passing networks for large-scale knowledge graph reasoning.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Dynamically pruned message passing networks for large-scale knowledge graph reasoning

Reference 12

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Observation cdbf454d-ff34-4d09-8619-c46073906cbd · outbound

This paper cites Courville.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Courville

Reference 13

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Observation 32d692f6-3cc7-41dc-a3a5-c42f56821c5a · outbound

This paper cites Anchoring path for inductive relation prediction in knowledge graphs.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Anchoring path for inductive relation prediction in knowledge graphs

Reference 14

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Observation 997186a3-c032-4256-bb49-4bfd9cb631a0 · outbound

This paper cites Canonical tensor decomposition for knowledge base completion.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Canonical tensor decomposition for knowledge base completion

Reference 15

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Observation 0e92213d-fc89-46d4-88e6-b99f331ab0ca · outbound

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

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Translating embeddings for modeling multi-relational data

Reference 16

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Observation 6d331898-90ae-444a-a73c-a273968e8344 · outbound

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Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Unresolved cited work

Reference 17

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Observation 5a1fe1f2-a2bd-4a7f-a1a1-226023660efb · outbound

This paper cites Kingma and Jimmy Ba.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Kingma and Jimmy Ba

Reference 18

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Observation 950433f5-58f7-4e2f-a12b-4d7991dcd161 · outbound

This paper cites Convolutional 2d knowledge graph embeddings.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Convolutional 2d knowledge graph embeddings

Reference 19

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Observation 0301894f-1ec2-4e5e-bc9e-7877a0ad0a55 · outbound

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

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Observed versus latent features for knowledge base and text inference

Reference 20

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Observation f6244897-f5da-4b32-8915-5896800911e7 · outbound

This paper cites DeepPath: A reinforcement learning method for knowledge graph reasoning.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion DeepPath: A reinforcement learning method for knowledge graph reasoning

Reference 21

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Observation bd600a87-7ae7-4082-9205-fc543164869d · outbound

This paper cites Statistical predicate invention.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Statistical predicate invention

Reference 22

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Observation a8115b36-ba62-4048-916e-81cdcc1127b8 · outbound

This paper cites Rotate: Knowledge graph em- bedding by relational rotation in complex space.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Rotate: Knowledge graph em- bedding by relational rotation in complex space

Reference 23

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Observation 2e21b28e-e789-42c5-927e-5ed35f3800bc · outbound

This paper cites House: Knowledge graph embedding with householder parameterization.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion House: Knowledge graph embedding with householder parameterization

Reference 24

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Observation 4aafe9c9-2468-46e2-bf5a-586fd5b7761d · outbound

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Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Unresolved cited work

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Observation f6cca351-5d6f-4513-8377-6b035cec9911 · outbound

This paper cites Multisource hierarchical neural network for knowledge graph embedding.Expert Syst.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Multisource hierarchical neural network for knowledge graph embedding.Expert Syst

Reference 26

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Observation 27ca2113-dd91-463c-8168-b01a662667d6 · outbound

This paper cites an unresolved cited work.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Unresolved cited work

Reference 27

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Observation 776cd89d-01ea-4616-9ee8-453b7fa0176f · outbound

This paper cites A unified joint approach with topological context learning and rule augmentation for knowledge graph com- pletion.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion A unified joint approach with topological context learning and rule augmentation for knowledge graph com- pletion

Reference 28

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Observation 7b86543f-53f5-406d-8193-20bf5cc929af · outbound

This paper cites Mixed geometry message and trainable convolutional attention network for knowledge graph completion.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Mixed geometry message and trainable convolutional attention network for knowledge graph completion

Reference 29

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Observation f45822eb-7ffe-426d-ac96-7c1993e451c2 · outbound

This paper cites Multi-relational semantic awareness for knowledge graph completion.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Multi-relational semantic awareness for knowledge graph completion

Reference 30

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Observation bae21230-91e8-439a-8ac1-d533e1150940 · outbound

This paper cites Higher-order logical knowl- edge representation learning.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Higher-order logical knowl- edge representation learning

Reference 31

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Observation c717aca1-adf6-4578-99b7-6e6ed1e4648d · outbound

This paper cites Teru, Etienne G.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Teru, Etienne G

Reference 32

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Observation ea8fb294-dc9d-48b3-9742-820d0d1a326b · outbound

This paper cites Communicative message passing for inductive relation reasoning.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Communicative message passing for inductive relation reasoning

Reference 33

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Observation 72c09ef1-6e26-45cd-a5ae-6a62f4fc0733 · outbound

This paper cites Neural bellman-ford networks: A general graph neural network framework for link prediction.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Neural bellman-ford networks: A general graph neural network framework for link prediction

Reference 34

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Observation 732d343d-85b6-4c01-aec4-265c69f5e7ec · outbound

This paper cites Embedding entities and relations for learning and inference in knowledge bases.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Embedding entities and relations for learning and inference in knowledge bases

Reference 35

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Observation 1b2274b1-551e-4170-a550-42cadd8b0330 · outbound

This paper cites Hospedales.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Hospedales

Reference 36

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Observation 4f0af17a-8157-46fd-8f27-b2c678792623 · outbound

This paper cites Complex embeddings for simple link prediction.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Complex embeddings for simple link prediction

Reference 37

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Observation 4e7f93a1-4c30-478c-9024-b4f445417628 · outbound

This paper cites Deeppath: A reinforcement learning method for knowledge graph reasoning.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Deeppath: A reinforcement learning method for knowledge graph reasoning

Reference 38

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source=pdf_text observed=2026-06-28T02:26:06.984348Z digest=sha256:b5f93f17ff6670e8ae8bd79747e711c37706b48fef4b310e7e2cad40b7c93c7e

Observation d0647837-b338-444e-aa95-a3abc70d554f · outbound

This paper cites Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning

Reference 39

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source=pdf_text observed=2026-06-28T02:26:06.984348Z digest=sha256:560d1835ba0658e9a731355a0e3b8482ee3da82bc2605951d6ea8a9d53043fe0

Observation 33c535f1-b457-4e95-8812-d87421583a8c · outbound

This paper cites Learning to walk with dual agents for knowledge graph reasoning.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Learning to walk with dual agents for knowledge graph reasoning

Reference 40

Resolution
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no resolver link, observed 2026-06-28T02:26:06.984348Z

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source=pdf_text observed=2026-06-28T02:26:06.984348Z digest=sha256:10712a9efabb67053c6dff9e6cf983ff310d86e0b29f10dbae883c38dc1ae827

Observation 77b8c9b2-6507-4ea7-b06d-405e05cc12d2 · outbound

This paper cites Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 41

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source=pdf_text observed=2026-06-28T02:26:06.984348Z digest=sha256:8516955a4baba485b63cac0dfe2a1b8e746259b244aa3cd3d2717ced9233e04c

Observation 571fb09e-096e-4c40-850f-558b90e211f6 · outbound

This paper cites Pairnorm: Tackling oversmoothing in gnns.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion Pairnorm: Tackling oversmoothing in gnns

Reference 42

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no resolver link, observed 2026-06-28T02:26:06.984348Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-28T02:26:06.984348Z digest=sha256:2eb74e0ad6b481fed3722693059ddc6d69444e83ac60a853dffb8e481e586853

Observation 291bf110-328f-4d61-852d-47b9cd0810c6 · outbound

This paper cites type": "<TYPE_NAME>.

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion type": "<TYPE_NAME>

Reference 43

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unresolved
no resolver link, observed 2026-06-28T02:26:06.984348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T02:26:06.984348Z digest=sha256:9dccda1ef558892e20e57f79b87367dd50064c8724b13156d1d075b91f49f67b

Pith citing papers

No inbound Pith citation observations are available.