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Paper Citation Record · LEDGER

Hybrid Low-order and Higher-order Graph Convolutional Networks

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.00673.

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

pith.paper-citation-record.v1
1908.00673 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:42:07.798244Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbb3a18b-5cd4-4f08-857d-9a17a4738103 · outbound

This paper cites A higher-order graph convolutional layer.

Hybrid Low-order and Higher-order Graph Convolutional Networks A higher-order graph convolutional layer

Reference 1

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 05920854-f69a-499d-bbd5-fa11c7a1566e · outbound

This paper cites MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.

Hybrid Low-order and Higher-order Graph Convolutional Networks MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

Reference 2

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local_arxiv, observed 2026-08-14T15:42:07.869284Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 290bd78b-7257-4c6a-88d7-116b253e2f51 · outbound

This paper cites Manifold regularization: A geometric framework for learning from labeled and unlabeled examples.

Hybrid Low-order and Higher-order Graph Convolutional Networks Manifold regularization: A geometric framework for learning from labeled and unlabeled examples

Reference 3

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b266dc50-72a1-4249-8d6a-32481c5537f3 · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Hybrid Low-order and Higher-order Graph Convolutional Networks Spectral Networks and Locally Connected Networks on Graphs

Reference 4

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Source-reported events for the cited work

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Observation d005218c-ee65-47d0-9d25-c442b4981828 · outbound

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

Hybrid Low-order and Higher-order Graph Convolutional Networks Grarep: Learning graph representations with global structural information

Reference 5

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Observation d4ea5936-b193-459a-bfb2-5a514e35feb2 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Hybrid Low-order and Higher-order Graph Convolutional Networks Convolutional neural networks on graphs with fast localized spectral filtering

Reference 6

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Observation 6008d582-4127-42ba-ae64-32e61868a410 · outbound

This paper cites Neural message passing for quantum chemistry.

Hybrid Low-order and Higher-order Graph Convolutional Networks Neural message passing for quantum chemistry

Reference 7

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Observation da307f9d-a669-4792-9447-e680dfcf105a · outbound

This paper cites Inductive representation learning on large graphs.

Hybrid Low-order and Higher-order Graph Convolutional Networks Inductive representation learning on large graphs

Reference 8

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Observation efdbacd7-dfc2-4fe5-9739-d6275583c90f · outbound

This paper cites Deep residual learning for image recognition.

Hybrid Low-order and Higher-order Graph Convolutional Networks Deep residual learning for image recognition

Reference 9

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Observation 25fc7a82-50ef-46eb-881f-20546ba152dd · outbound

This paper cites Deep Convolutional Networks on Graph-Structured Data.

Hybrid Low-order and Higher-order Graph Convolutional Networks Deep Convolutional Networks on Graph-Structured Data

Reference 10

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Observation e22f80d7-25b1-44fc-9624-e6d4e3320119 · outbound

This paper cites Bag of tricks for efficient text classification.

Hybrid Low-order and Higher-order Graph Convolutional Networks Bag of tricks for efficient text classification

Reference 11

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0c26c93b-f4ce-45c9-84ea-194653d86259 · outbound

This paper cites Convolutional neural networks for sentence classification.

Hybrid Low-order and Higher-order Graph Convolutional Networks Convolutional neural networks for sentence classification

Reference 12

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Observation f50f72c4-13f3-4e08-9155-719a4686c482 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Hybrid Low-order and Higher-order Graph Convolutional Networks Adam: A Method for Stochastic Optimization

Reference 13

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Observation c67c0ab1-4c63-4443-92fe-1c8041d0807c · outbound

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

Hybrid Low-order and Higher-order Graph Convolutional Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 14

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Observation d818f16e-fea4-4b81-85cf-9fe685c517b3 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Hybrid Low-order and Higher-order Graph Convolutional Networks Imagenet classification with deep convolutional neural networks

Reference 15

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Observation 059eb3a7-46ae-4364-97ea-301148ece8e5 · outbound

This paper cites Higher-order Graph Convolutional Networks.

Hybrid Low-order and Higher-order Graph Convolutional Networks Higher-order Graph Convolutional Networks

Reference 16

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local_arxiv, observed 2026-08-14T15:42:07.834668Z

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 2e5a7176-b1cd-4c5f-9f39-74286dcb378c · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning.

Hybrid Low-order and Higher-order Graph Convolutional Networks Deeper insights into graph convolutional networks for semi-supervised learning

Reference 17

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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 0a0f1892-1c65-45bf-91dc-13e6cf393957 · outbound

This paper cites Recurrent Neural Network for Text Classification with Multi-Task Learning.

Hybrid Low-order and Higher-order Graph Convolutional Networks Recurrent Neural Network for Text Classification with Multi-Task Learning

Reference 18

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Observation 25720408-5dce-4e77-8db1-ce75049c83f9 · outbound

This paper cites Link-based classification.

Hybrid Low-order and Higher-order Graph Convolutional Networks Link-based classification

Reference 19

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Observation 1f098eb1-9ab5-44fa-b19b-f76a592b3bf1 · outbound

This paper cites Ahmed, Ted Willke, Dipanjan Sengupta, Michael W.

Hybrid Low-order and Higher-order Graph Convolutional Networks Ahmed, Ted Willke, Dipanjan Sengupta, Michael W

Reference 20

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 475a3dc9-7477-44dc-9493-0a4a68b97884 · outbound

This paper cites Deepwalk: online learning of social representations.

Hybrid Low-order and Higher-order Graph Convolutional Networks Deepwalk: online learning of social representations

Reference 21

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a6eee95e-a22b-4483-a1ad-9c07c7b698ed · outbound

This paper cites Collective classification in network data.

Hybrid Low-order and Higher-order Graph Convolutional Networks Collective classification in network data

Reference 22

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Observation 235aa6f8-e4ed-47e8-b9ad-3c9b3073bb39 · outbound

This paper cites Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms.

Hybrid Low-order and Higher-order Graph Convolutional Networks Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms

Reference 23

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Observation 4fb8f58b-18f7-43ef-b4d9-12f712234724 · outbound

This paper cites Pte: Predictive text embedding through large-scale heterogeneous text networks.

Hybrid Low-order and Higher-order Graph Convolutional Networks Pte: Predictive text embedding through large-scale heterogeneous text networks

Reference 24

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Observation dfb91a17-9d79-41d6-b87b-c5454a99cdac · outbound

This paper cites Graph attention networks.

Hybrid Low-order and Higher-order Graph Convolutional Networks Graph attention networks

Reference 25

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Observation 1c6b9f23-a977-4596-bf29-5f82bdbc559d · outbound

This paper cites Joint embedding of words and labels for text classification.

Hybrid Low-order and Higher-order Graph Convolutional Networks Joint embedding of words and labels for text classification

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7539d6d6-7143-4866-93cc-5e2476902e48 · outbound

This paper cites Deep learning via semi-supervised embedding.

Hybrid Low-order and Higher-order Graph Convolutional Networks Deep learning via semi-supervised embedding

Reference 27

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c84ce147-68b7-4638-8abd-3c94cb31b9de · outbound

This paper cites Cohen, and Ruslan R.

Hybrid Low-order and Higher-order Graph Convolutional Networks Cohen, and Ruslan R

Reference 28

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fadc5551-843c-4fb1-a500-547ec666bcc8 · outbound

This paper cites Graph Convolutional Networks for Text Classification.

Hybrid Low-order and Higher-order Graph Convolutional Networks Graph Convolutional Networks for Text Classification

Reference 29

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Unavailable: canonical work link unavailable.

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Observation a3facbea-b8a6-40b0-96e6-2df6d32bf8f0 · outbound

This paper cites Lafferty.

Hybrid Low-order and Higher-order Graph Convolutional Networks Lafferty

Reference 30

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.