Paper Citation Record · LEDGER

Federated Graph Learning with Graphless Clients

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2411.08374.

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

pith.paper-citation-record.v1
2411.08374 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:44:07.689011Z

measured 45 of 45 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

45 of 45 outbound references displayed

verified exact1
verified fuzzy35
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1ba0245-365f-4806-b1a1-42ca20a6796d · outbound

This paper cites Fast unfolding of communities in large networks.

Federated Graph Learning with Graphless Clients Fast unfolding of communities in large networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:08.032553Z

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.

Observation 745d44d5-2549-4760-805f-a9ae28942958 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Federated Graph Learning with Graphless Clients A simple framework for contrastive learning of visual representations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T21:44:07.575593Z

Source-reported events for the cited work

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Observation cdbf72ea-fcf5-4545-92c6-20396ec61975 · outbound

This paper cites Iterative deep graph learning for graph neural networks: Better and robust node embeddings.

Federated Graph Learning with Graphless Clients Iterative deep graph learning for graph neural networks: Better and robust node embeddings

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:08.020892Z

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.

Observation 74987e9c-b1e9-4985-90e4-46dca05c8829 · outbound

This paper cites Learning discrete structures for graph neural networks.

Federated Graph Learning with Graphless Clients Learning discrete structures for graph neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:08.013637Z

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.

Observation f806ef1e-8694-46e8-af6e-3cff389905ec · outbound

This paper cites Federated graph machine learning: A survey of concepts, techniques, and applications.

Federated Graph Learning with Graphless Clients Federated graph machine learning: A survey of concepts, techniques, and applications

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:08.006383Z

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.

Observation cd93594d-354d-4446-abfb-d8375c7d94eb · outbound

This paper cites Spatial-temporal networks for antibiogram pattern prediction.

Federated Graph Learning with Graphless Clients Spatial-temporal networks for antibiogram pattern prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.998761Z

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.

Observation 36aad269-9483-415d-8872-002ef629ac86 · outbound

This paper cites Federated graph learning with structure proxy alignment.

Federated Graph Learning with Graphless Clients Federated graph learning with structure proxy alignment

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.990477Z

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.

Observation b348c148-ed11-4583-ac68-04f19a7993bd · outbound

This paper cites Generating classification weights with gnn denoising autoencoders for few-shot learning.

Federated Graph Learning with Graphless Clients Generating classification weights with gnn denoising autoencoders for few-shot learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.982928Z

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.

Observation 2d55a09d-bd10-4b35-b9b7-aabab9d46068 · outbound

This paper cites A variational edge partition model for supervised graph representation learning.

Federated Graph Learning with Graphless Clients A variational edge partition model for supervised graph representation learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.974775Z

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.

Observation 520ec897-3d6f-4300-9eb8-a0e4e9a1378d · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Federated Graph Learning with Graphless Clients Distilling the Knowledge in a Neural Network

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T21:44:07.598723Z

Source-reported events for the cited work

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Observation 04f02d0e-6e2e-4182-b80d-efa78d4bdae3 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

Federated Graph Learning with Graphless Clients Open graph benchmark: Datasets for machine learning on graphs

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.967254Z

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.

Observation adb043a5-d9ac-431f-9f82-846aa6e7f3a9 · outbound

This paper cites Federated graph semantic and structural learning.

Federated Graph Learning with Graphless Clients Federated graph semantic and structural learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.959339Z

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.

Observation 894cdeaf-bba2-4298-b785-aba836b2150f · outbound

This paper cites Graph structure learning for robust graph neural networks.

Federated Graph Learning with Graphless Clients Graph structure learning for robust graph neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.951932Z

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.

Observation 9cfa3775-830a-4d27-958a-c370346e3fa8 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

Federated Graph Learning with Graphless Clients Scaffold: Stochastic controlled averaging for federated learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.944726Z

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.

Observation 34b49961-7bff-44bc-bea4-a128d153d814 · outbound

This paper cites Adam: A method for stochastic optimization.

Federated Graph Learning with Graphless Clients Adam: A method for stochastic optimization

Reference 15

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Source-reported events for the cited work

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Observation ca4fae24-9377-4870-9102-91d5063d3649 · outbound

This paper cites Model-contrastive federated learning.

Federated Graph Learning with Graphless Clients Model-contrastive federated learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.934432Z

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.

Observation fcfedae2-93c2-4294-b399-3b8816de3934 · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

Federated Graph Learning with Graphless Clients Federated learning: Challenges, methods, and future directions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.928313Z

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.

Observation 135ca6bd-d14a-4738-a827-c2b071a91c7b · outbound

This paper cites Federated optimization in heterogeneous networks.

Federated Graph Learning with Graphless Clients Federated optimization in heterogeneous networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.921886Z

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.

Observation daf9290e-7f39-4af5-854f-7cbda25769e0 · outbound

This paper cites Towards unsupervised deep graph structure learning.

Federated Graph Learning with Graphless Clients Towards unsupervised deep graph structure learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.914832Z

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.

Observation 41c8475e-ba62-4518-abac-68417fe01d17 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Federated Graph Learning with Graphless Clients Communication-efficient learning of deep networks from decentralized data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.907139Z

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.

Observation 3c0fbe41-ddeb-4238-8b59-9b6b24842e16 · outbound

This paper cites Fedproc: Prototypical contrastive federated learning on non-iid data.

Federated Graph Learning with Graphless Clients Fedproc: Prototypical contrastive federated learning on non-iid data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.897760Z

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.

Observation 58c67ec7-ea73-47b4-b419-9cadb669eb3b · outbound

This paper cites Differentially private federated knowledge graphs embedding.

Federated Graph Learning with Graphless Clients Differentially private federated knowledge graphs embedding

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.889379Z

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.

Observation 95b6bb92-e7bb-4171-b5f7-87af82792a0a · outbound

This paper cites Collective classification in network data.

Federated Graph Learning with Graphless Clients Collective classification in network data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.881285Z

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.

Observation d445cecd-f655-43c6-a827-e9eb4d91e335 · outbound

This paper cites Personalized federated learning using hypernetworks.

Federated Graph Learning with Graphless Clients Personalized federated learning using hypernetworks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.873670Z

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.

Observation 0d7d6c40-8e86-448f-8476-ba6497a3eb5f · outbound

This paper cites Bring your own view: Graph neural networks for link prediction with personalized subgraph selection.

Federated Graph Learning with Graphless Clients Bring your own view: Graph neural networks for link prediction with personalized subgraph selection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.866430Z

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.

Observation d90e922c-9194-4547-94a1-d5a91a5dc603 · outbound

This paper cites Fedproto: Federated prototype learning across heterogeneous clients.

Federated Graph Learning with Graphless Clients Fedproto: Federated prototype learning across heterogeneous clients

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.858633Z

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.

Observation 3a846c6f-df39-403c-a30f-db2907ddab20 · outbound

This paper cites Federated learning on non-iid graphs via structural knowledge sharing.

Federated Graph Learning with Graphless Clients Federated learning on non-iid graphs via structural knowledge sharing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.850673Z

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.

Observation 061ceb32-91cc-47d2-86eb-43ad1bfffe4a · outbound

This paper cites The eu general data protection regulation (gdpr).

Federated Graph Learning with Graphless Clients The eu general data protection regulation (gdpr)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.843249Z

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.

Observation e72bf5a4-437f-49b6-abbe-fb36227752d4 · outbound

This paper cites Rethinking personalized federated learning with clustering-based dynamic graph propagation.

Federated Graph Learning with Graphless Clients Rethinking personalized federated learning with clustering-based dynamic graph propagation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.835937Z

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.

Observation 4cb0a332-9fb5-469b-9054-f3395c06132c · outbound

This paper cites Federated few-shot learning.

Federated Graph Learning with Graphless Clients Federated few-shot learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.827736Z

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.

Observation 370d6a53-dae9-431b-8452-d5e0e27dfb67 · outbound

This paper cites Safety in Graph Machine Learning: Threats and Safeguards.

Federated Graph Learning with Graphless Clients Safety in Graph Machine Learning: Threats and Safeguards

Reference 31

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Source-reported events for the cited work

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Observation a22a23c6-45ab-460d-bae3-f63d4ca5c710 · outbound

This paper cites Heterogeneity-aware memory efficient federated learning via progressive layer freezing.

Federated Graph Learning with Graphless Clients Heterogeneity-aware memory efficient federated learning via progressive layer freezing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.819514Z

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.

Observation 065429d1-a084-4e2c-bc9a-3eebad16e4d1 · outbound

This paper cites Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training.

Federated Graph Learning with Graphless Clients Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training

Reference 33

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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.

Observation 64f8b005-22ee-4e30-8a0b-eda8869a5eff · outbound

This paper cites A comprehensive survey on graph neural networks.

Federated Graph Learning with Graphless Clients A comprehensive survey on graph neural networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T21:44:07.661426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1ccc204-dcf9-4500-8b39-b409d16b76dc · outbound

This paper cites Federated graph classification over non-iid graphs.

Federated Graph Learning with Graphless Clients Federated graph classification over non-iid graphs

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.807527Z

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.

Observation 31a4b460-364f-49d4-8f10-cce3eb2d3770 · outbound

This paper cites Federated node classification over graphs with latent link-type heterogeneity.

Federated Graph Learning with Graphless Clients Federated node classification over graphs with latent link-type heterogeneity

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.799401Z

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.

Observation c9073c87-555d-45aa-9081-d7d3fdc8671b · outbound

This paper cites Federated machine learning: Concept and applications.

Federated Graph Learning with Graphless Clients Federated machine learning: Concept and applications

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.791718Z

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.

Observation 7b15a71d-ddfd-46b8-9469-5f0881ce30ae · outbound

This paper cites Graphsaint: Graph sampling based inductive learning method.

Federated Graph Learning with Graphless Clients Graphsaint: Graph sampling based inductive learning method

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T21:44:07.670340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dedf996-f894-4b89-89cb-fa750cc8925a · outbound

This paper cites Tackling the Local Bias in Federated Graph Learning.

Federated Graph Learning with Graphless Clients Tackling the Local Bias in Federated Graph Learning

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T21:44:07.721848Z

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.

Observation f6d1a455-49d5-47e9-83c4-718de7e7c782 · outbound

This paper cites Subgraph federated learning with missing neighbor generation.

Federated Graph Learning with Graphless Clients Subgraph federated learning with missing neighbor generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.779764Z

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.

Observation ddfce580-0e96-48c2-8240-cbe9bf3b9793 · outbound

This paper cites Link prediction based on graph neural networks.

Federated Graph Learning with Graphless Clients Link prediction based on graph neural networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.772089Z

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.

Observation 050d352a-222f-4dd0-9be6-dc7b907470af · outbound

This paper cites Graph-less neural networks: Teaching old mlps new tricks via distillation.

Federated Graph Learning with Graphless Clients Graph-less neural networks: Teaching old mlps new tricks via distillation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.764004Z

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.

Observation 4527097d-0b47-4575-a4e6-b71823ea3e6f · outbound

This paper cites Vertically federated graph neural network for privacy-preserving node classification.

Federated Graph Learning with Graphless Clients Vertically federated graph neural network for privacy-preserving node classification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:44:07.756095Z

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.

Observation ebb675e1-01b4-430a-ae80-2d4383555104 · outbound

This paper cites A Survey on Graph Structure Learning: Progress and Opportunities.

Federated Graph Learning with Graphless Clients A Survey on Graph Structure Learning: Progress and Opportunities

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T21:44:07.686101Z

Source-reported events for the cited work

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Observation 935e4288-1bf5-4737-812f-df56ca0e3c5a · outbound

This paper cites write newline.

Federated Graph Learning with Graphless Clients write newline

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T21:44:07.689011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.