Paper Citation Record · LEDGER

Spectro-Riemannian Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2502.00401.

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

pith.paper-citation-record.v1
2502.00401 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

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measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:11.731577Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:43:19.430955Z

Reference resolution

59 of 59 outbound references displayed

verified exact2
verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 356cdc01-6592-42b3-b038-97e4f9b18de2 · outbound

This paper cites write newline.

Spectro-Riemannian Graph Neural Networks write newline

Reference 1

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Observation d274151b-74ac-4c0b-a592-5f2f81755d92 · outbound

This paper cites Constant curvature graph convolutional networks.

Spectro-Riemannian Graph Neural Networks Constant curvature graph convolutional networks

Reference 2

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Observation a80c6608-64bf-4c28-a3bd-e2b6bb410c5b · outbound

This paper cites Ollivier-Ricci curvature and the spectrum of the normalized graph Laplace operator.

Spectro-Riemannian Graph Neural Networks Ollivier-Ricci curvature and the spectrum of the normalized graph Laplace operator

Reference 3

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This paper cites Discrete laplace operator on meshed surfaces.

Spectro-Riemannian Graph Neural Networks Discrete laplace operator on meshed surfaces

Reference 4

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Observation 19f67ac8-0108-49f4-97b7-186222a339f9 · outbound

This paper cites Hyperbolic graph convolutional neural networks.

Spectro-Riemannian Graph Neural Networks Hyperbolic graph convolutional neural networks

Reference 5

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Observation 864033f1-7a39-4090-96cd-8388e925bcab · outbound

This paper cites Adaptive Universal Generalized PageRank Graph Neural Network.

Spectro-Riemannian Graph Neural Networks Adaptive Universal Generalized PageRank Graph Neural Network

Reference 6

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Observation ec75c617-7719-4489-b793-0eef44da4777 · outbound

This paper cites Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.

Spectro-Riemannian Graph Neural Networks Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning

Reference 7

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Observation 01264157-b04a-4ce3-ad9f-d501bfdf033d · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Spectro-Riemannian Graph Neural Networks Convolutional neural networks on graphs with fast localized spectral filtering

Reference 8

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Observation 9f7b1d67-971a-4c97-a9d5-7db141325949 · outbound

This paper cites Riemannian geometry, volume 2.

Spectro-Riemannian Graph Neural Networks Riemannian geometry, volume 2

Reference 9

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Observation c97735b0-3ba7-4309-8823-9529fbdf173a · outbound

This paper cites Figure: Simple and efficient unsupervised node representations with filter augmentations.

Spectro-Riemannian Graph Neural Networks Figure: Simple and efficient unsupervised node representations with filter augmentations

Reference 10

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

This paper cites Predict then Propagate: Graph Neural Networks meet Personalized PageRank.

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

Reference 11

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Observation b60c25a4-a9a5-4c2e-8620-913775c591b6 · outbound

This paper cites Public wisdom matters! discourse-aware hyperbolic fourier co-attention for social text classification.

Spectro-Riemannian Graph Neural Networks Public wisdom matters! discourse-aware hyperbolic fourier co-attention for social text classification

Reference 12

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Observation a8504313-d6e2-422b-8de4-e0fdf37e3019 · outbound

This paper cites Learning mixed-curvature representations in products of model spaces.

Spectro-Riemannian Graph Neural Networks Learning mixed-curvature representations in products of model spaces

Reference 13

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Observation 9ac96e88-5608-45dc-b6a1-169b975b092b · outbound

This paper cites Inductive representation learning on large graphs.

Spectro-Riemannian Graph Neural Networks Inductive representation learning on large graphs

Reference 14

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Observation fcfbc1ab-70a6-4af0-a79d-341f93f74e8e · outbound

This paper cites Bernnet: Learning arbitrary graph spectral filters via bernstein approximation.

Spectro-Riemannian Graph Neural Networks Bernnet: Learning arbitrary graph spectral filters via bernstein approximation

Reference 15

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Observation 4531b2b8-6bf8-4de6-ab2c-2d6e50282bd8 · outbound

This paper cites Constrained heat kernel graph diffusion convolution: A high-dimensional statistical approximation via information theory.

Spectro-Riemannian Graph Neural Networks Constrained heat kernel graph diffusion convolution: A high-dimensional statistical approximation via information theory

Reference 16

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Observation bc0bc73b-a2ec-474f-93ff-f2ed7afcee6f · outbound

This paper cites A cotangent laplacian for images as surfaces.

Spectro-Riemannian Graph Neural Networks A cotangent laplacian for images as surfaces

Reference 17

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Observation 8d675f43-4da7-4ce3-8642-6a5102cc8f06 · outbound

This paper cites Jost and S.

Spectro-Riemannian Graph Neural Networks Jost and S

Reference 18

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Observation b7894867-05e3-4c63-b7ef-22f815c08c34 · outbound

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

Spectro-Riemannian Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 19

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Observation 38bb85e5-6642-4e91-a507-d4c733b31c00 · outbound

This paper cites Block models and personalized pagerank.

Spectro-Riemannian Graph Neural Networks Block models and personalized pagerank

Reference 20

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Observation cc5ddf49-6432-405c-9324-c5c47b7e397b · outbound

This paper cites A spectral graph convolution for signed directed graphs via magnetic laplacian.

Spectro-Riemannian Graph Neural Networks A spectral graph convolution for signed directed graphs via magnetic laplacian

Reference 21

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Spectro-Riemannian Graph Neural Networks Unresolved cited work

Reference 22

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This paper cites Optimizing generalized pagerank methods for seed-expansion community detection.

Spectro-Riemannian Graph Neural Networks Optimizing generalized pagerank methods for seed-expansion community detection

Reference 23

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Observation 88d4969c-fa31-43e6-8c1a-381be6ad1a6d · outbound

This paper cites A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness.

Spectro-Riemannian Graph Neural Networks A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness

Reference 24

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Spectro-Riemannian Graph Neural Networks Unresolved cited work

Reference 25

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Observation ae746d85-f0cf-4639-8855-7913b4f52c32 · outbound

This paper cites On fourier's law of heat conduction.

Spectro-Riemannian Graph Neural Networks On fourier's law of heat conduction

Reference 26

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This paper cites Sphereface: Deep hypersphere embedding for face recognition.

Spectro-Riemannian Graph Neural Networks Sphereface: Deep hypersphere embedding for face recognition

Reference 27

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This paper cites Graph-based natural language processing and information retrieval.

Spectro-Riemannian Graph Neural Networks Graph-based natural language processing and information retrieval

Reference 28

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This paper cites Transformer for Graphs: An Overview from Architecture Perspective.

Spectro-Riemannian Graph Neural Networks Transformer for Graphs: An Overview from Architecture Perspective

Reference 29

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Spectro-Riemannian Graph Neural Networks Continuous kernel learning

Reference 30

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This paper cites Community detection on networks with ricci flow.

Spectro-Riemannian Graph Neural Networks Community detection on networks with ricci flow

Reference 31

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Spectro-Riemannian Graph Neural Networks Ricci curvature of metric spaces

Reference 32

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Spectro-Riemannian Graph Neural Networks On properties of the generalized wasserstein distance

Reference 33

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Spectro-Riemannian Graph Neural Networks Multi-scale attributed node embedding

Reference 34

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This paper cites Representation tradeoffs for hyperbolic embeddings.

Spectro-Riemannian Graph Neural Networks Representation tradeoffs for hyperbolic embeddings

Reference 35

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This paper cites Discrete signal processing on graphs: Graph fourier transform.

Spectro-Riemannian Graph Neural Networks Discrete signal processing on graphs: Graph fourier transform

Reference 36

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Spectro-Riemannian Graph Neural Networks Collective classification in network data

Reference 37

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Spectro-Riemannian Graph Neural Networks Sinkhorn and P

Reference 38

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Spectro-Riemannian Graph Neural Networks Hyperbolic variational graph neural network for modeling dynamic graphs

Reference 39

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This paper cites A self-supervised mixed-curvature graph neural network.

Spectro-Riemannian Graph Neural Networks A self-supervised mixed-curvature graph neural network

Reference 40

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Spectro-Riemannian Graph Neural Networks Social influence analysis in large-scale networks

Reference 41

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This paper cites Ricci curvatures of contact riemannian manifolds.

Spectro-Riemannian Graph Neural Networks Ricci curvatures of contact riemannian manifolds

Reference 42

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Spectro-Riemannian Graph Neural Networks Learning heat diffusion graphs

Reference 43

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Spectro-Riemannian Graph Neural Networks Curvature-based Clustering on Graphs

Reference 44

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This paper cites Hyperbolic trigonometry and its application in the poincar \'e ball model of hyperbolic geometry.

Spectro-Riemannian Graph Neural Networks Hyperbolic trigonometry and its application in the poincar \'e ball model of hyperbolic geometry

Reference 45

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Spectro-Riemannian Graph Neural Networks Graph Attention Networks

Reference 46

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Spectro-Riemannian Graph Neural Networks Analysis of the physical Laplacian and the heat flow on a locally finite graph

Reference 47

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Spectro-Riemannian Graph Neural Networks Spherical and hyperbolic embeddings of data

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:15:15.186837Z

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This paper cites Pseudo-riemannian graph convolutional networks.

Spectro-Riemannian Graph Neural Networks Pseudo-riemannian graph convolutional networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:15:15.168663Z

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Observation eb218a2d-96c8-4591-a620-7ef4ad9d29ea · outbound

This paper cites Inductive Representation Learning on Temporal Graphs.

Spectro-Riemannian Graph Neural Networks Inductive Representation Learning on Temporal Graphs

Reference 50

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Spectro-Riemannian Graph Neural Networks Revisiting semi-supervised learning with graph embeddings

Reference 51

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Spectro-Riemannian Graph Neural Networks Graph neural networks and their current applications in bioinformatics

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:15:15.135932Z

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This paper cites Hyperbolic graph attention network.

Spectro-Riemannian Graph Neural Networks Hyperbolic graph attention network

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:15:15.118954Z

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This paper cites Interpreting and unifying graph neural networks with an optimization framework.

Spectro-Riemannian Graph Neural Networks Interpreting and unifying graph neural networks with an optimization framework

Reference 54

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Spectro-Riemannian Graph Neural Networks Graph geometry interaction learning

Reference 55

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Observation e9397c8a-15c8-4ebf-bac5-b579860d8926 · outbound

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Spectro-Riemannian Graph Neural Networks @esa (Ref

Reference 56

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Observation 2e0ee9e7-88e2-444a-88a6-2bd585bd8198 · outbound

This paper cites an unresolved cited work.

Spectro-Riemannian Graph Neural Networks Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T19:15:14.793778Z

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Observation 228174a3-9c3d-4773-add5-f1e3335ee2ad · outbound

This paper cites , Haiyang Yu 2 , Xiang Song 3 , Qi Zhu 3 , Han Xie 3 , \\ Vassilis N.

Spectro-Riemannian Graph Neural Networks , Haiyang Yu 2 , Xiang Song 3 , Qi Zhu 3 , Han Xie 3 , \\ Vassilis N

Reference 58

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T19:15:15.050885Z

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Observation b97cd6b1-6166-4b55-8597-434531cd0990 · outbound

This paper cites an unresolved cited work.

Spectro-Riemannian Graph Neural Networks Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T19:15:14.805891Z

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Pith citing papers

Observation 9e2ae7be-ec60-425d-bd34-68591084daba · inbound

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection cites this paper.

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection Spectro-Riemannian Graph Neural Networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:43:19.489489Z

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