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Paper Citation Record · LEDGER

Feature Interaction-aware Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:1908.07110.

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

pith.paper-citation-record.v1
1908.07110 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:30:17.666729Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:19:05.522728Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:19:06.092166Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b143fa18-a095-42b4-a720-6f4b0960d085 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Feature Interaction-aware Graph Neural Networks Relational inductive biases, deep learning, and graph networks

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 247b16ce-96cd-478a-9647-528e9c74a79e · outbound

This paper cites Neural message passing for quantum chemistry.

Feature Interaction-aware Graph Neural Networks Neural message passing for quantum chemistry

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f8913aa4-0009-4bfc-9cbc-6099534da22c · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

Feature Interaction-aware Graph Neural Networks DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 8

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Observation 11f66857-1384-4d3f-96f5-68f08ba2fbf3 · outbound

This paper cites Inductive representation learning on large graphs.

Feature Interaction-aware Graph Neural Networks Inductive representation learning on large graphs

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3553a55a-e8fc-4337-959c-1adadc1ccb8a · outbound

This paper cites Neu- ral factorization machines for sparse predictive analytics.

Feature Interaction-aware Graph Neural Networks Neu- ral factorization machines for sparse predictive analytics

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 87ae2b7d-baba-42ed-9730-7d9864b33da4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Feature Interaction-aware Graph Neural Networks Adam: A Method for Stochastic Optimization

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a644f684-3aa4-4a4c-be15-43897961f59a · outbound

This paper cites Unsupervised streaming feature selection in social media.

Feature Interaction-aware Graph Neural Networks Unsupervised streaming feature selection in social media

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 54b86225-248d-4b9f-abfe-21a68ab7b8d6 · outbound

This paper cites Feature selection: A data perspective.

Feature Interaction-aware Graph Neural Networks Feature selection: A data perspective

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6506dcae-14db-4e7d-9eb0-1eb629ca561a · outbound

This paper cites Visualizing data using t-sne.

Feature Interaction-aware Graph Neural Networks Visualizing data using t-sne

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c6ab7edc-0d06-435e-9e70-086551b78420 · outbound

This paper cites Deepwalk: Online learning of social rep- resentations.

Feature Interaction-aware Graph Neural Networks Deepwalk: Online learning of social rep- resentations

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 05211944-16a6-4544-a9b4-dca4d510c9e9 · outbound

This paper cites Factorization machines.

Feature Interaction-aware Graph Neural Networks Factorization machines

Reference 19

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 90573ddf-0095-4779-92a7-1faaad69b7cd · outbound

This paper cites Learning with kernels: support vector machines, regularization, optimization, and beyond.

Feature Interaction-aware Graph Neural Networks Learning with kernels: support vector machines, regularization, optimization, and beyond

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 066fd851-a018-4838-9d72-45b4cc353b3a · outbound

This paper cites Social identity and intergroup relations, volume.

Feature Interaction-aware Graph Neural Networks Social identity and intergroup relations, volume

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 41456f39-e9ed-4566-b207-9baefec2451f · outbound

This paper cites Arnetminer: extraction and mining of academic social networks.

Feature Interaction-aware Graph Neural Networks Arnetminer: extraction and mining of academic social networks

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 513905a6-0335-44ca-b694-03dede4b2ef9 · outbound

This paper cites Graph Attention Networks.

Feature Interaction-aware Graph Neural Networks Graph Attention Networks

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 008b9d00-e45d-4796-bfa7-3026f9bbedce · outbound

This paper cites Deep & cross network for ad click predic- tions.

Feature Interaction-aware Graph Neural Networks Deep & cross network for ad click predic- tions

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 72cac123-43fc-4422-857b-5d23fa823cd1 · outbound

This paper cites Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks.

Feature Interaction-aware Graph Neural Networks Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62c3e502-2a1f-4d88-b24a-719d8812edaa · outbound

This paper cites How Powerful are Graph Neural Networks?.

Feature Interaction-aware Graph Neural Networks How Powerful are Graph Neural Networks?

Reference 28

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Source-reported events for the cited work

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Observation b772ee6d-1677-4e4b-8202-72424b721f5f · outbound

This paper cites Understanding bag-of-words model: a statistical framework.

Feature Interaction-aware Graph Neural Networks Understanding bag-of-words model: a statistical framework

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation db8750f5-bfe0-45fc-994a-678b23bb4d4b · outbound

This paper cites Deep crossing: Web- scale modeling without manually crafted combinatorial features.

Feature Interaction-aware Graph Neural Networks Deep crossing: Web- scale modeling without manually crafted combinatorial features

Reference 2001

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c9dbfcf9-8dff-4f8a-ad89-ea7f6ab0826f · outbound

This paper cites Automatic differentiation in pytorch.

Feature Interaction-aware Graph Neural Networks Automatic differentiation in pytorch

Reference 2008

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Source-reported events for the cited work

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Observation 4de054c9-1928-40f2-a045-057fb2b7d989 · outbound

This paper cites The graph neural network model.

Feature Interaction-aware Graph Neural Networks The graph neural network model

Reference 2010

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 24b23521-c117-49af-aa7a-bf71c19a0410 · outbound

This paper cites Bayesian personalized feature in- teraction selection for factorization machines.

Feature Interaction-aware Graph Neural Networks Bayesian personalized feature in- teraction selection for factorization machines

Reference 2013

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:30:17.580190Z digest=sha256:56b58dec40561bd2daf6c53e7a9f2f913ff88c35ce498ba0227ac644b1272bf5

Observation 7b441419-635f-49a5-9fbb-d4d2dab95862 · outbound

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

Feature Interaction-aware Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 2014

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Observation a5a7f9bc-0c85-4c5a-a8a4-845b6e0906f9 · outbound

This paper cites Attributed network em- bedding for learning in a dynamic environment.

Feature Interaction-aware Graph Neural Networks Attributed network em- bedding for learning in a dynamic environment

Reference 2015

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raw_fallback, observed 2026-08-14T12:30:17.899885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:30:17.615780Z digest=sha256:92cb2a45b58e77f7ca66d2af6baa300fbad1ba0a7d98c1d97f1b26d8007816d5

Observation fdcff001-e1f3-48ea-a9de-b5a72f20fdb6 · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Feature Interaction-aware Graph Neural Networks Spectral Networks and Locally Connected Networks on Graphs

Reference 2016

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 94a865fa-1f35-435d-bcda-3f9a93897986 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Feature Interaction-aware Graph Neural Networks node2vec: Scalable feature learning for networks

Reference 2017

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raw_fallback, observed 2026-08-14T12:30:17.942375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:30:17.590908Z digest=sha256:c6f79c4e04c909528dbac863b31187f08106414bbcc0f362257f15ec675a36b1

Observation 83d8c8bd-3b26-476c-b327-7b56f0813023 · outbound

This paper cites Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms.

Feature Interaction-aware Graph Neural Networks Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms

Reference 2018

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local_arxiv, observed 2026-08-14T12:30:17.759618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:30:17.572452Z digest=sha256:438530b63381d7cd9a7b9a685359b83ca3f21560addcb9ccad5da8cc5de4e91c

Observation 836123ac-5777-4db4-9b29-ccc4cc2d4e57 · outbound

This paper cites Convolutional neural net- works on graphs with fast localized spectral filtering.

Feature Interaction-aware Graph Neural Networks Convolutional neural net- works on graphs with fast localized spectral filtering

Reference 2019

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raw_fallback, observed 2026-08-14T12:30:17.962335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:30:17.583694Z digest=sha256:6f0fe7442c3d9b0d4fcb4d9d1657927c7bb02cc3ab74080e59d7b046c384edb1

Pith citing papers

Observation 76d18fad-1459-41f5-9d2c-98d9304b6995 · inbound

Transferring Robustness for Graph Neural Network Against Poisoning Attacks cites this paper.

Transferring Robustness for Graph Neural Network Against Poisoning Attacks Feature Interaction-aware Graph Neural Networks

Reference 9

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local_arxiv, observed 2026-08-14T12:19:06.097587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:19:05.522728Z digest=sha256:e208b536034ef745e1ced891f432bde37bbbfdafb805b661d3cb3595ac254b49