Paper Citation Record · LEDGER

Composition-based Multi-Relational Graph Convolutional Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:1911.03082.

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

pith.paper-citation-record.v1
1911.03082 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:25:19.078976Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.897069Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f1ec09b6-ae1b-4db5-bc48-8d9c0a13a359 · inbound

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning cites this paper.

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning Composition-based Multi-Relational Graph Convolutional Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:19.078976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b81a8526-d8a2-465d-95bf-c008af37d153 · inbound

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion cites this paper.

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion Composition-based Multi-Relational Graph Convolutional Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:44.872150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5eac48f-baa2-4d36-a8c6-0e56fa59c02d · inbound

HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs cites this paper.

HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs Composition-based Multi-Relational Graph Convolutional Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:08.214374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc69a14-6ba1-4474-9b95-0a22a69acbb9 · inbound

Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training cites this paper.

Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training Composition-based Multi-Relational Graph Convolutional Networks

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:19.193433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5b1650-be7c-4ccb-a96e-37d81e62dd31 · inbound

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models cites this paper.

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models Composition-based Multi-Relational Graph Convolutional Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:38.604651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39067e30-d493-4afb-8490-66bbb30030b7 · inbound

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods cites this paper.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Composition-based Multi-Relational Graph Convolutional Networks

Reference 172

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:56.319671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63c3c206-f963-4878-af44-2f8c281597e1 · inbound

Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing cites this paper.

Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing Composition-based Multi-Relational Graph Convolutional Networks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:43.772007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a027452-8669-4e3f-9e34-51708190606a · inbound

Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs cites this paper.

Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs Composition-based Multi-Relational Graph Convolutional Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:45:18.020329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d901e4-5453-4df7-8b1a-5ad56e309f0e · inbound

BioGraphFusion: Graph Knowledge Embedding for Biological Completion and Reasoning cites this paper.

BioGraphFusion: Graph Knowledge Embedding for Biological Completion and Reasoning Composition-based Multi-Relational Graph Convolutional Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:46.131735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e71bc7d-7281-4c52-90f7-15dd90c81186 · inbound

Unifying Adversarial Perturbation for Graph Neural Networks cites this paper.

Unifying Adversarial Perturbation for Graph Neural Networks Composition-based Multi-Relational Graph Convolutional Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:09.782647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a05779c-d1e8-4a3c-86fe-7be36915d646 · inbound

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning cites this paper.

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning Composition-based Multi-Relational Graph Convolutional Networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:32.058640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d7821f-8a0b-469c-bc67-e662740a2e95 · inbound

One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set Prediction cites this paper.

One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set Prediction Composition-based Multi-Relational Graph Convolutional Networks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:38:42.999325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2243c79-6409-4840-b546-794a3291ec1e · inbound

Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction cites this paper.

Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction Composition-based Multi-Relational Graph Convolutional Networks

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:00:56.719052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 587e4090-ccb0-46a4-b209-fc99de7b8328 · inbound

Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks cites this paper.

Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks Composition-based Multi-Relational Graph Convolutional Networks

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:03:48.185112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed74f73f-f622-4c0f-9734-5123959b3688 · inbound

Beyond Accuracy: Measuring Logical Compliance of Predictive Models cites this paper.

Beyond Accuracy: Measuring Logical Compliance of Predictive Models Composition-based Multi-Relational Graph Convolutional Networks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:59:32.367412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49ac169c-455b-40bf-90d0-7fe60825dc3e · inbound

SAGE-Nav: Leveraging LLM Planning and Alignment Fusion for Hierarchical Scene Graph-Guided Navigation cites this paper.

SAGE-Nav: Leveraging LLM Planning and Alignment Fusion for Hierarchical Scene Graph-Guided Navigation Composition-based Multi-Relational Graph Convolutional Networks

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:06.898688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c9b5dae-1b98-45c8-af3e-79044b905e70 · inbound

Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks cites this paper.

Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks Composition-based Multi-Relational Graph Convolutional Networks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:51.659552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2e48ff-b90a-46a1-a2af-c5cc154c2f05 · inbound

Nonlinear Laplacians Improve Signed-Directed Graph Learning cites this paper.

Nonlinear Laplacians Improve Signed-Directed Graph Learning Composition-based Multi-Relational Graph Convolutional Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T00:21:37.574219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.