Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T18:33:39.850699Z
Paper Citation Record · LEDGER
Image Classification with Hierarchical Multigraph Networks
As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:1907.09000.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-08T10:45:34.174961Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T10:54:49.396986Z
Reference resolution
39 of 39 outbound references displayed
- verified exact4
- verified fuzzy35
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b06118b2-c3fc-4834-9044-05d55fdc9460 · outbound
This paper cites Slic superpixels compared to state-of-the-art superpixel methods.
Image Classification with Hierarchical Multigraph Networks Slic superpixels compared to state-of-the-art superpixel methods
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.857738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ffad89a1-0172-40ba-9b90-78c388881895 · outbound
This paper cites Contour detection and hi- erarchical image segmentation.
Image Classification with Hierarchical Multigraph Networks Contour detection and hi- erarchical image segmentation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.861108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2fdaccd2-5214-47fe-aee7-1deb9990aa88 · outbound
This paper cites Relational inductive biases, deep learning, and graph networks.
Image Classification with Hierarchical Multigraph Networks Relational inductive biases, deep learning, and graph networks
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T18:34:48.388579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c83310d7-d3d0-402b-a19a-0954eee999be · outbound
This paper cites Translating embeddings for modeling multi-relational data.
Image Classification with Hierarchical Multigraph Networks Translating embeddings for modeling multi-relational data
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.780129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6315b0d8-35b1-42b0-abad-2ff1c06406c8 · outbound
This paper cites Ge- ometric deep learning: going beyond euclidean data.
Image Classification with Hierarchical Multigraph Networks Ge- ometric deep learning: going beyond euclidean data
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.828625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52403470-ecc4-442f-9902-f66317989b8d · outbound
This paper cites Spectral networks and locally connected networks on graphs.
Image Classification with Hierarchical Multigraph Networks Spectral networks and locally connected networks on graphs
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.776233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d78fbd1d-0866-443b-89f7-5d9e211bc3eb · outbound
This paper cites Iterative visual reasoning beyond convo- lutions.
Image Classification with Hierarchical Multigraph Networks Iterative visual reasoning beyond convo- lutions
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.783722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 59147cae-6896-44f1-a0e8-206488d4ba03 · outbound
This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.
Image Classification with Hierarchical Multigraph Networks Convolutional neural networks on graphs with fast localized spectral filtering
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.797919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3d5e418f-6575-40a9-a1fd-c8285c0ccc1e · outbound
This paper cites Weighted graph cuts without eigenvectors a multilevel approach.
Image Classification with Hierarchical Multigraph Networks Weighted graph cuts without eigenvectors a multilevel approach
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.808416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 740ab479-5058-4f79-a644-91733704006d · outbound
This paper cites The pascal visual object classes (voc) challenge.
Image Classification with Hierarchical Multigraph Networks The pascal visual object classes (voc) challenge
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.835668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f2bf536f-48dd-4a93-a3d4-5fb9ed63fd6e · outbound
This paper cites Splinecnn: Fast geomet- ric deep learning with continuous b-spline kernels.
Image Classification with Hierarchical Multigraph Networks Splinecnn: Fast geomet- ric deep learning with continuous b-spline kernels
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.832159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cf3ded28-601a-4875-96ff-ff3fe1212eac · outbound
This paper cites Graph U-Net.
Image Classification with Hierarchical Multigraph Networks Graph U-Net
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.854019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fee96440-b7b6-42d6-bf93-1ab925a2b7c5 · outbound
This paper cites Neural message passing for quantum chemistry.
Image Classification with Hierarchical Multigraph Networks Neural message passing for quantum chemistry
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.804695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1cd6604e-81d6-4a6e-bd24-49f13eb8b705 · outbound
This paper cites Representation Learning on Graphs: Methods and Applications.
Image Classification with Hierarchical Multigraph Networks Representation Learning on Graphs: Methods and Applications
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T18:34:48.382655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af107750-ae47-4172-ba87-65622b64cd7e · outbound
This paper cites Deep Convolutional Networks on Graph-Structured Data.
Image Classification with Hierarchical Multigraph Networks Deep Convolutional Networks on Graph-Structured Data
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T18:34:48.394479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 578144d5-35c4-4fdc-8aac-2e6552c1884d · outbound
This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.
Image Classification with Hierarchical Multigraph Networks Batch normalization: Accelerating deep network training by reducing internal covariate shift
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.892328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd0ce26f-cff0-4ab8-941e-b8f3805a2bcf · outbound
This paper cites Graph-based isometry invariant representation learning.
Image Classification with Hierarchical Multigraph Networks Graph-based isometry invariant representation learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.864087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9a1b53fc-8819-4bfd-9d45-8d8365ec4342 · outbound
This paper cites Adam: A method for stochastic optimization.
Image Classification with Hierarchical Multigraph Networks Adam: A method for stochastic optimization
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.846713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b7220b42-457b-40cc-a4ad-3dacb9c7230f · outbound
This paper cites Semi-supervised classification with graph convolutional net- works.
Image Classification with Hierarchical Multigraph Networks Semi-supervised classification with graph convolutional net- works
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.871339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce3e388a-8813-48bf-8f95-c38921318898 · outbound
This paper cites Spectral multigraph net- works for discovering and fusing relationships in molecules.
Image Classification with Hierarchical Multigraph Networks Spectral multigraph net- works for discovering and fusing relationships in molecules
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.874887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fa3ff132-ce73-4c7e-be7f-64df44f66303 · outbound
This paper cites On valid optimal assignment kernels and applications to graph classification.
Image Classification with Hierarchical Multigraph Networks On valid optimal assignment kernels and applications to graph classification
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.839381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation faf113c0-d43b-49ee-968c-a60f5ad3fa45 · outbound
This paper cites Learning multiple layers of features from tiny images.
Image Classification with Hierarchical Multigraph Networks Learning multiple layers of features from tiny images
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.842918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cb386dff-1988-4ff1-854b-a3343a75acc3 · outbound
This paper cites Gradient-based learning applied to document recognition.
Image Classification with Hierarchical Multigraph Networks Gradient-based learning applied to document recognition
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.867705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9d6bbe7f-f3dd-453e-9868-c037176fc2a0 · outbound
This paper cites Semantic object parsing with graph lstm.
Image Classification with Hierarchical Multigraph Networks Semantic object parsing with graph lstm
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.878087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8a5df7d-2669-45a7-b8ab-59f3383eda61 · outbound
This paper cites Visual relationship detection with language priors.
Image Classification with Hierarchical Multigraph Networks Visual relationship detection with language priors
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.818281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ba6ac549-31b3-48d1-b5a0-bbb84bc616a3 · outbound
This paper cites Geometric deep learning on graphs and manifolds using mixture model cnns.
Image Classification with Hierarchical Multigraph Networks Geometric deep learning on graphs and manifolds using mixture model cnns
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.821717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3895b5e8-5d9e-47bb-b45d-fef32c47e7ed · outbound
This paper cites Learning convolutional neural networks for graphs.
Image Classification with Hierarchical Multigraph Networks Learning convolutional neural networks for graphs
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.825090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0d0801d1-7bc4-430a-8a83-a5800ea80ea5 · outbound
This paper cites Attribute-graph: A graph based approach to image ranking.
Image Classification with Hierarchical Multigraph Networks Attribute-graph: A graph based approach to image ranking
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.815131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b25aec39-5c5d-4ae7-a525-3a1e629f75bf · outbound
This paper cites Modeling relational data with graph convolutional networks.
Image Classification with Hierarchical Multigraph Networks Modeling relational data with graph convolutional networks
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.885045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 89dfb834-d32f-4e6a-81e0-b96ec636fe02 · outbound
This paper cites Weisfeiler-lehman graph kernels.
Image Classification with Hierarchical Multigraph Networks Weisfeiler-lehman graph kernels
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.794079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 723ffb22-6342-4886-bea0-6ba7a35bdbce · outbound
This paper cites Dynamic edgeconditioned filters in convolutional neural networks on graphs.
Image Classification with Hierarchical Multigraph Networks Dynamic edgeconditioned filters in convolutional neural networks on graphs
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.881633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b5ea8e66-3ec1-4ac5-9cc0-aad85b0fa559 · outbound
This paper cites Graphvae: Towards generation of small graphs using variational autoencoders.
Image Classification with Hierarchical Multigraph Networks Graphvae: Towards generation of small graphs using variational autoencoders
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.850689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 45ac3ee7-9ca5-48cd-99c3-b3f0c0791222 · outbound
This paper cites Striving for Simplicity: The All Convolutional Net.
Image Classification with Hierarchical Multigraph Networks Striving for Simplicity: The All Convolutional Net
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T18:34:48.399400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d505e5b0-5299-44be-9112-e28c712aedbc · outbound
This paper cites Dropout: a simple way to prevent neural networks from overfitting.
Image Classification with Hierarchical Multigraph Networks Dropout: a simple way to prevent neural networks from overfitting
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.888668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 69947b26-a840-4b69-bae2-79066d3d3356 · outbound
This paper cites Graph attention networks.
Image Classification with Hierarchical Multigraph Networks Graph attention networks
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.895928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b68ea03c-8772-462f-a44e-dc774b6ad9be · outbound
This paper cites Deep graph infomax.
Image Classification with Hierarchical Multigraph Networks Deep graph infomax
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.787259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b6d4a02c-130d-4b61-957a-9053d58d8fe0 · outbound
This paper cites How powerful are graph neural networks? In International Conference on Learning Representations (ICLR).
Image Classification with Hierarchical Multigraph Networks How powerful are graph neural networks? In International Conference on Learning Representations (ICLR)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.801364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7273a6e5-cdcf-4740-bf31-ad060d807b0a · outbound
This paper cites Deep graph kernels.
Image Classification with Hierarchical Multigraph Networks Deep graph kernels
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.811846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 46fe26b0-3b36-439a-a312-60366fbf5fc5 · outbound
This paper cites Hierarchical graph representation learning with differentiable pooling.
Image Classification with Hierarchical Multigraph Networks Hierarchical graph representation learning with differentiable pooling
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:34:48.790903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
Observation 2ca3e00f-602e-4018-a374-cee1ef47437f · inbound
Visual graphs for image classification: does the structure affect performance? cites this paper.
Visual graphs for image classification: does the structure affect performance? Image Classification with Hierarchical Multigraph Networks
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T10:54:49.401062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.