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Paper Citation Record · LEDGER

Composition-based Multi-Relational Graph Convolutional Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:00:46.045823Z

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

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 222f7b60-c1f9-4e44-a585-d873ad098555 · inbound

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning cites this paper.

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning Composition-based Multi-Relational Graph Convolutional Networks

Reference 46

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no resolver link, observed 2026-08-07T15:42:26.183124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:26.183124Z digest=sha256:1e3c02d9271b3bfa6a0706c50e870cffac691f2b79809ef0e00955f43afeba51

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:25:19.078976Z digest=sha256:17ea5cce095011292cfe89190da9bd82dfb19f943d497b4b1f1751419302a6fd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:44.872150Z digest=sha256:acd702082238e948de6fd715908e13412fd775aa0bec911806e719d190636894

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:08.214374Z digest=sha256:edcc523b76b7a2c5ed4d3eee22d012c85a5388f05969b64216d407451532d53f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:19.193433Z digest=sha256:23c4cc8745c8f41b83c7a9d20366c4410cffee4dc1b532ca3164bf3f6f98a238

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:56.319671Z digest=sha256:9d2d78cd870be518669f020163b713f5eb2fb7d5f056c526b29d44f517712327

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:43.772007Z digest=sha256:dbefb316ac36375423c1476fc660dbd8e3dccaf366c06f09f1b176dcdba95e4d

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:18.020329Z digest=sha256:d93a6e8d4278de48fd51210060ecded9390507a8bcb4496e42489819002eaa06

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:58:46.131735Z digest=sha256:b3d102024ad9092605b19d5f86324b281f0d14174fa2f2e186d8ef6e27c9b8b9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:09.782647Z digest=sha256:0d7c849d26294b7053efdb845d7ebf2684fd5690f3bf37a388e95a8d590fef43

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:53:32.058640Z digest=sha256:490e16d476bb51fd71bda683bdefe7489bf7a21a342dd45600e4cd8a6bb5c9c0

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:11:15.653424Z digest=sha256:98926af51fce1f16f9bed9e77cfec0e8bc7f01c471449b24e9804bdf1c345c62

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T02:57:47.504977Z digest=sha256:a904751bc90cf31a82b445c7fbd453d973e5f7380fb42544fc3be5b462ec7816

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T17:55:58.403621Z digest=sha256:9ebf3cb6071b9a95aba65ca4cc39fae7d9909afea55795d650b3bcccf90e84ee

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:30:46.782503Z digest=sha256:266a236802576c8282d9fde2317d291e89819ef42b9a0443c5e8fa0eedaac3b2

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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:01:51.659552Z digest=sha256:14846ea0b635f21fd0c981a14ecde46f6e77f70901350ced68830d3615a41ede

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:21:37.574219Z digest=sha256:f8f66f0674a219ed4f15a6f034eadfe1dac26ee1c41bbe71e7ae0dfefd52ce60

Observation d688c4f6-145c-41c4-a570-e67a0788e247 · inbound

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction cites this paper.

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction Composition-based Multi-Relational Graph Convolutional Networks

Reference 43

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no resolver link, observed 2026-08-07T20:00:46.045823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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