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Paper Citation Record · LEDGER

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:1810.05997.

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

pith.paper-citation-record.v1
1810.05997 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:47:53.145704Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T00:09:14.386849Z

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Outbound references

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Pith citing papers

Observation 1e9f9c74-af81-42d9-8c13-7ef1e9f51604 · inbound

Personalized One-shot Federated Graph Learning for Heterogeneous Clients cites this paper.

Personalized One-shot Federated Graph Learning for Heterogeneous Clients Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 20

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source=arxiv_source observed=2026-08-12T18:47:53.145704Z digest=sha256:d19976ecb14793305c282ce666b36832f4fefeb89063c8781e509d4dda7d5714

Observation c6a0e28f-86c4-4b8e-9133-be0ceb02dc83 · inbound

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting cites this paper.

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 66

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source=pdf_text observed=2026-08-12T18:37:07.224372Z digest=sha256:f13275066f398449d3ebc9bb7645518930c7940428ab2ce8059a25c6f9b3dbcb

Observation cdb881e4-ece8-4679-9f83-30728c9d9aac · inbound

MADE: Graph Backdoor Defense with Masked Unlearning cites this paper.

MADE: Graph Backdoor Defense with Masked Unlearning Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 16

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source=pdf_text observed=2026-08-12T11:48:09.373547Z digest=sha256:5cd10a034a8fdffbc6bef66a82f6a13e871de9bf70f2d7ced71988e6a84473a9

Observation bbafa31e-e790-414e-821e-86d5a2886953 · inbound

Know Your Account: Double Graph Inference-based Account De-anonymization on Ethereum cites this paper.

Know Your Account: Double Graph Inference-based Account De-anonymization on Ethereum Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 40

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source=pdf_text observed=2026-08-12T10:53:21.533963Z digest=sha256:57058eaf30ab65e324ac159a8e8f4071da60d5719f1cf1a8dffae7db857e6e60

Observation 7be7de5a-074c-4e36-97fa-c89d388f6545 · inbound

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach cites this paper.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 15

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source=pdf_text observed=2026-08-11T15:45:14.570935Z digest=sha256:df640601f39b0c1b396410b33af5b28730317a6409092276361f4964e4a92776

Observation 5aa6995e-fd9a-476f-a5da-ebf2c71f4b0d · inbound

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training cites this paper.

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 15

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source=arxiv_source observed=2026-08-11T12:48:48.843823Z digest=sha256:ee7a486c0a5e8c345ba3b94c295d159e6e1c61607b9e57f592af52d7f2e22cb6

Observation 8a22d087-b40c-414f-ba08-718e31e183c0 · inbound

THeGCN: Temporal Heterophilic Graph Convolutional Network cites this paper.

THeGCN: Temporal Heterophilic Graph Convolutional Network Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 2016

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source=pdf_text observed=2026-08-11T10:38:15.887975Z digest=sha256:f5f0224e78e71631d2307c81948392007ff8b4eff38b8dbc61d14070728039cf

Observation 24bb7931-328c-40d8-8bb3-e7a1d330c514 · inbound

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs cites this paper.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 20

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source=pdf_text observed=2026-08-10T22:52:59.256874Z digest=sha256:9f1368ad23c55133df5592fbbed6bae05e512e05c90b406a22cfe713f9f4e46e

Observation 28f171e5-659d-4873-9ee5-8b695020aa36 · inbound

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 6

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arxiv_id, observed 2026-05-23T04:42:33.248844Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T04:41:50.959730Z digest=sha256:ac126146b74f38eb1b51a788d4cbe439425bb7615ef25803132fc7209761a3ab

Observation 606af63e-79be-41b9-8a0d-4082881f48bc · inbound

Spectro-Riemannian Graph Neural Networks cites this paper.

Spectro-Riemannian Graph Neural Networks Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 11

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source=arxiv_source observed=2026-08-09T19:15:14.573752Z digest=sha256:989769a40bb332a28db2a2bcb8cd90d08a4c946b48903a63a100b0a9ffbc2a47

Observation e44d8743-bc71-4b90-bb69-8f315d63285b · inbound

IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification cites this paper.

IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 8

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source=pdf_text observed=2026-08-08T16:13:44.644163Z digest=sha256:b0b1445a929d5f5007b925ee670ef2bede716b85e7f6807fd3e85d5adcb8277a

Observation 4c13a040-e4f1-4023-a60e-2ab806063d93 · inbound

Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay cites this paper.

Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 10

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source=pdf_text observed=2026-08-07T19:17:33.120351Z digest=sha256:d6f6e3b1ea973895eeae4b96939a9da515fcf7bcad0124d158baedaea1f4c628

Observation 57abf8ee-1e81-4af8-8797-dd4e32fbcb48 · inbound

A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants cites this paper.

A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 6

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arxiv_id, observed 2026-05-19T13:12:18.280097Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T13:10:12.353451Z digest=sha256:4d05853d87cd568aaa60f4de226cadf02d9b92cd5dd1184b1a1b131940a995e7

Observation 0f6bbdbe-1f00-4782-94a8-86fb168560d8 · inbound

OpenGT: A Comprehensive Benchmark For Graph Transformers cites this paper.

OpenGT: A Comprehensive Benchmark For Graph Transformers Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 4

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source=pdf_text observed=2026-08-07T10:37:17.393239Z digest=sha256:88888faf636a9b1d0c7a91451a794ab92a0760e46350df28b73b0f5e93993149

Observation adfc73fe-5dc2-4a59-80aa-cf6930a843f6 · inbound

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture cites this paper.

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 6

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source=pdf_text observed=2026-08-07T04:33:14.186144Z digest=sha256:a342e8af7d12918f64e2d9f73fe66a19f48b4bf76e929dc8ddf9f898f723efb7

Observation f39056b9-d891-4e67-a224-c6f614eb73cb · inbound

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach cites this paper.

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 31

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Observation 182f9110-4ee9-4ab4-aad6-762b0376a255 · inbound

Simplifying Graph Kernels for Efficient cites this paper.

Simplifying Graph Kernels for Efficient Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 6

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source=pdf_text observed=2026-08-06T20:16:09.322992Z digest=sha256:e074b8f2c74dce6d83e951f41cfb7d3ec9d7a663caef2f4fd9800f16f24a1dd6

Observation f483cdbc-f97e-4143-9f78-173b0ac1cf8b · inbound

When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction cites this paper.

When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 12

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source=pdf_text observed=2026-08-06T16:22:59.307341Z digest=sha256:bb86625aa9e8203d6d728e643a65d0a7d81de07f924bf3b2c9f6a86a9120f4a6

Observation 3bfafab8-1a20-4474-96a8-37fa9313907f · inbound

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs cites this paper.

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 29

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Observation 686990de-1a97-4f0b-927d-662056cdea87 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 19

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arxiv_id, observed 2026-05-25T07:50:28.968689Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T07:49:39.057087Z digest=sha256:c096d691d91f1c66e8fbc1fb158e1ab0eb3b593e2c776f1a91ca634822d4df1b

Observation 98e5b1e2-ce6f-4137-8278-3de8902f1158 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 17

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source=pdf_text observed=2026-08-04T10:00:48.099409Z digest=sha256:9bb30b0b6de0e2a054fc9b893d022e23f6e79df1ea0417d57717ba6ee3b15b83

Observation c49e513b-8ace-4e00-8673-db39d883acdd · inbound

Learning from Historical Activations in Graph Neural Networks cites this paper.

Learning from Historical Activations in Graph Neural Networks Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 10

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arxiv_id, observed 2026-05-21T17:15:25.362041Z

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source=pdf_text observed=2026-05-21T17:14:52.859473Z digest=sha256:d886594d84446d1a993b256de192914b64f13ffb5ce3bc1cffab2afbc55681b6

Observation ed2ee696-4dcd-4ae4-9793-8cafd680d19a · inbound

Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms cites this paper.

Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 19

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source=arxiv_source observed=2026-08-03T06:35:48.545179Z digest=sha256:4ecbe453da3e52dbbba0bc54679a0ea35a2c53f752f988a9da9534912260c0d5

Observation acf77921-77da-4223-9d6a-d8d59b8ea80d · inbound

UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains cites this paper.

UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 14

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arxiv_id, observed 2026-05-11T09:26:03.339937Z

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Observation 93484e19-a855-43c2-9138-38d57880b05a · inbound

Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking cites this paper.

Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 17

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arxiv_id, observed 2026-05-10T00:34:47.678192Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cc069e7b-5799-4323-b50b-25ce11dabdb3 · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 117

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arxiv_id, observed 2026-05-12T08:26:24.937256Z

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source=arxiv_source observed=2026-05-12T01:07:43.805485Z digest=sha256:a7bf4084f71c7369dd3dcbeb5e0a73356a57389a0f6fc40c2b319ba2b4caa515

Observation 34db17f6-d829-4d82-98fb-3b53e5073523 · inbound

Graph Navier Stokes Networks cites this paper.

Graph Navier Stokes Networks Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 26

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arxiv_id, observed 2026-06-30T17:14:56.828115Z

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Observation 889ec963-7ce0-48b8-9381-e1c59f8c63d8 · inbound

An Efficient and Scalable Graph Condensation with Structure-Preserving cites this paper.

An Efficient and Scalable Graph Condensation with Structure-Preserving Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 35

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arxiv_id, observed 2026-06-29T00:12:50.265265Z

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Observation 5c23a937-6200-48de-9f1a-d965d52c2968 · inbound

Bidirectional Semantic Complementary Tool Retrieval for Remote Sensing Agents cites this paper.

Bidirectional Semantic Complementary Tool Retrieval for Remote Sensing Agents Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 30

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arxiv_id, observed 2026-07-01T08:45:34.958798Z

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Observation beb59dc6-d0a8-467f-abc0-37578537463b · inbound

Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets cites this paper.

Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 68

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source=pdf_text observed=2026-06-27T17:21:28.096446Z digest=sha256:e761a677bd5127338b0a09c4c8353959529117d097bec848e2fd245851e894f6

Observation 726a6ac9-64a8-4be2-be16-3ca003ae37be · inbound

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching cites this paper.

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 22

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arxiv_id, observed 2026-07-03T09:07:47.659196Z

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source=pdf_text observed=2026-06-27T10:33:02.954683Z digest=sha256:f67dc10c7904ae312fe75f332529c7b53f8197439d8a0019646515caa68b1043

Observation a9fa032d-3220-4e1a-93b6-1b9889f696ac · inbound

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network cites this paper.

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 25

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arxiv_id, observed 2026-07-04T00:09:14.390111Z

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Observation e0f7bc80-3a83-4666-bf5d-4236b42530f8 · inbound

NodeImport: Imbalanced Node Classification with Node Importance Assessment cites this paper.

NodeImport: Imbalanced Node Classification with Node Importance Assessment Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 14

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source=pdf_text observed=2026-08-02T03:40:58.569203Z digest=sha256:7ac281e6f0966e01a460d43c691c102a6ff631ff1a34192d85ad10a90f8a2128

Observation 5712a9bc-a0ab-4e3f-9dfa-5da4ab16c695 · inbound

ProPRL: Property-Aware Prerequisite Relation Learning in Educational Knowledge Graphs cites this paper.

ProPRL: Property-Aware Prerequisite Relation Learning in Educational Knowledge Graphs Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 2019

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