Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:23:02.876298Z
Paper Citation Record · LEDGER
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks
As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:1908.05365.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy7
- unresolved8
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c4827670-181b-4bee-94e1-47e4ce8dd0ab · outbound
This paper cites B.3 Network Structure In order to assign each of the∼160M yellow taxi rides to a pair of vertices in our graph, we must map their pickup and drop-off locations to a census block.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks B.3 Network Structure In order to assign each of the∼160M yellow taxi rides to a pair of vertices in our graph, we must map their pickup and drop-off locations to a census block
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:23:03.468766Z
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 f9e5ee98-8a02-4f03-8313-7aedc33e5c05 · outbound
This paper cites an unresolved cited work.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:23:03.363439Z
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 8556a753-62da-4456-bd64-d6385a9fc3b2 · outbound
This paper cites an unresolved cited work.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Unresolved cited work
Reference 3
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-14T13:23:03.514088Z
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 9d1fbd17-cdaf-4178-b0d1-e4374c7cffc7 · outbound
This paper cites Hermsen, Peter Bloem, F abian Jansen & W olf B.W.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Hermsen, Peter Bloem, F abian Jansen & W olf B.W
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:23:03.493011Z
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 afa64609-8a47-4b0c-8376-d7d5696fdc18 · outbound
This paper cites an unresolved cited work.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:23:03.393302Z
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 01e092b8-88a4-4daa-b5c0-2652911ff059 · outbound
This paper cites Floris A.W.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Floris A.W
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:23:03.426198Z
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 8b1d048d-4549-4783-b5ea-ff81347212b9 · outbound
This paper cites Types 1 and 2 receive additional small, randomized offsets on their time attributes in order to introduce a degree of noise.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Types 1 and 2 receive additional small, randomized offsets on their time attributes in order to introduce a degree of noise
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:23:03.330368Z
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 195f24d2-aeda-445d-98c2-50b7215ed944 · outbound
This paper cites an unresolved cited work.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:23:03.300482Z
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 ae52b278-210b-45b2-9433-ba042ac553ff · outbound
This paper cites an unresolved cited work.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:23:03.266358Z
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 50be4929-87c0-4222-bbb5-0bb756919e50 · outbound
This paper cites In case vi∈ N andvj∈ F we introduce fraud type B, having similar but opposite effects:.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks In case vi∈ N andvj∈ F we introduce fraud type B, having similar but opposite effects:
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:23:03.243062Z
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 bba76970-7a43-4944-9b47-0b43c02364b7 · outbound
This paper cites an unresolved cited work.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:23:03.207802Z
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 994953ac-9afc-422a-b451-24a43cc859b4 · outbound
This paper cites an unresolved cited work.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:23:03.172644Z
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 ff16a6f9-3424-49d1-b5b5-f17da2ce3f36 · outbound
This paper cites 11All of these modifications take place with a per- transaction probability of 1/3.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks 11All of these modifications take place with a per- transaction probability of 1/3
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:23:03.138902Z
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 3bf0e3d8-3450-4cde-a658-fad725f7e9ca · outbound
This paper cites Values for|E| also differ slightly because of the removal of generated self-connections.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Values for|E| also differ slightly because of the removal of generated self-connections
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:23:03.093371Z
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 2b8c21f7-ece0-4f53-89ac-69b1395c4a3b · outbound
This paper cites Relational inductive biases, deep learning, and graph networks.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Relational inductive biases, deep learning, and graph networks
Reference 2002
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:23:02.712761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 605e780c-8573-4236-95c1-4e1460bca8c9 · outbound
This paper cites Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering.
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:23:02.722286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.