Paper Citation Record · LEDGER

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:1908.05153.

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

pith.paper-citation-record.v1
1908.05153 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:26:47.328047Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy19
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da47dfa7-3974-4951-8ba5-868b37e23aff · outbound

This paper cites Convo lutional neural networks on graphs with fast localized spectral ﬁltering,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Convo lutional neural networks on graphs with fast localized spectral ﬁltering,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.571366Z

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 84e17a1f-86bd-417c-915e-afd45f205676 · outbound

This paper cites Geometric deep learning on graphs and manifold s using mixture model cnns,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Geometric deep learning on graphs and manifold s using mixture model cnns,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.529542Z

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 d5257e47-5059-422d-80e8-7ec433975cfe · outbound

This paper cites Inductive repres entation learning on large graphs,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Inductive repres entation learning on large graphs,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.480401Z

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 93adc9e5-bb88-4a66-9d64-a558ece442ab · outbound

This paper cites Graph Attention Networks.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Graph Attention Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T13:26:47.094724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d5cb24-1b60-469a-8513-9ca4edb99b95 · outbound

This paper cites Spectral ne tworks and locally connected networks on graphs,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Spectral ne tworks and locally connected networks on graphs,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.427846Z

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 821349c0-8885-4a2d-ad6c-960bddb4a0ef · outbound

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

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Deep Convolutional Networks on Graph-Structured Data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T13:26:47.123739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2133d210-4178-4c29-b4f2-c717ca2d55c1 · outbound

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

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Semi-Supervised Classification with Graph Convolutional Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T13:26:47.137035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df0025dd-59e1-4b53-887e-fc547e570920 · outbound

This paper cites Predict then propagate: Graph neural networks meet personalized pagerank,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Predict then propagate: Graph neural networks meet personalized pagerank,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.379602Z

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 ce7a644d-9e04-4494-8b1e-c33f39cd4cd1 · outbound

This paper cites Deep Graph Infomax,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Deep Graph Infomax,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.334773Z

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 87d7ff25-fa81-462c-83af-14435f5bdf6e · outbound

This paper cites Data representati on and learning with graph diffusion-embedding networks,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Data representati on and learning with graph diffusion-embedding networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.310054Z

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 c054f3a4-ca15-42cf-a95a-c7ddb6ba9f8e · outbound

This paper cites Adaptive graph convo- lutional neural networks,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Adaptive graph convo- lutional neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.271139Z

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 0ac2255f-03cf-4523-9a1c-6700fe34a67e · outbound

This paper cites Robust Graph Data Learning via Latent Graph Convolutional Representation.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Robust Graph Data Learning via Latent Graph Convolutional Representation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:26:47.191887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe40095b-daf9-4699-8646-40b84d3ecc8b · outbound

This paper cites GmCN: Graph Mask Convolutional Network.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network GmCN: Graph Mask Convolutional Network

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:26:47.451224Z

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 f37192cb-63fd-41dd-88c5-c186ec2fb5f7 · outbound

This paper cites Clustering and projected clustering with adaptive neighbors,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Clustering and projected clustering with adaptive neighbors,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.208441Z

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 a9a93cc4-6a7f-461a-b1ee-121413c3caed · outbound

This paper cites Unsupervised feature selecti on with struc- tured graph optimization,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Unsupervised feature selecti on with struc- tured graph optimization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.129216Z

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 466f0574-76bc-4339-b828-97ebf17a4132 · outbound

This paper cites Label propagation through linear neigh- borhoods,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Label propagation through linear neigh- borhoods,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.078074Z

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 7f5056d3-4c61-4d14-bf74-68c4ca405739 · outbound

This paper cites Reading digits in natural images with unsupervised featur e learning,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Reading digits in natural images with unsupervised featur e learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.044242Z

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 a2e77830-1f25-4dfb-bd14-ef57451823df · outbound

This paper cites Newsweeder: Learning to ﬁlter netnews,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Newsweeder: Learning to ﬁlter netnews,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:48.002959Z

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 92fdef6d-add1-4382-9f56-8db9690bcfc0 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Learning multiple layers of features from tiny images,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T13:26:47.268229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867db7d0-73c8-471c-a656-f76021b001d6 · outbound

This paper cites Collective classiﬁcation in network data,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Collective classiﬁcation in network data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:47.920670Z

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 cbcdbe3e-d0d7-4785-9c28-840886286485 · outbound

This paper cites Manifold regul arization: A geometric framework for learning from labeled and unlabele d examples,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Manifold regul arization: A geometric framework for learning from labeled and unlabele d examples,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:47.872262Z

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 a6ccf8e6-d677-42a3-be31-6265856697c2 · outbound

This paper cites Semi-superv ised learning using gaussian ﬁelds and harmonic functions,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Semi-superv ised learning using gaussian ﬁelds and harmonic functions,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:47.822074Z

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 ef649158-03dc-4902-805f-ad6e71d7433f · outbound

This paper cites Deepwalk: Onlin e learning of social representations,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Deepwalk: Onlin e learning of social representations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:47.782535Z

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 1be9a999-3275-4082-bf16-4409a8067e92 · outbound

This paper cites Adam: A method for stochastic opt imization,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Adam: A method for stochastic opt imization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:47.730835Z

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 6e03e4c6-c9ad-4bd3-80a0-6ebac47e8a20 · outbound

This paper cites Understanding the difﬁculty o f training deep feedforward neural networks,.

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network Understanding the difﬁculty o f training deep feedforward neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:47.683236Z

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

No inbound Pith citation observations are available.