DiPhon: Diffusion on Graphons for Scalable Graph Generation | Paper Citation Record

Observation 8fc5175e-a306-48a8-bd8c-bbf7e0bc3ed9 · outbound

This paper cites Score-based generative modeling of graphs via the system of stochastic differential equations.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Score-based generative modeling of graphs via the system of stochastic differential equations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.829012Z

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Observation d8d0bfb4-3aab-448a-9c4d-0ee9417f1c46 · outbound

This paper cites Digress: Discrete denoising diffusion for graph generation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Digress: Discrete denoising diffusion for graph generation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.905380Z

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Observation 1660b6f9-b059-4c8a-8a73-23d9e2ccae42 · outbound

This paper cites Midi: Mixed graph and 3d denoising diffusion for molecule generation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Midi: Mixed graph and 3d denoising diffusion for molecule generation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.899950Z

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Observation 75154aab-c04b-46db-b063-a5541547d5c5 · outbound

This paper cites Graphpnas: Learning probabilistic graph generators for neural architecture search.Transactions on Machine Learning Research, 2023.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Graphpnas: Learning probabilistic graph generators for neural architecture search.Transactions on Machine Learning Research, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.897153Z

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Observation 1ae43138-931e-4ae7-aaf4-e7ffcff2d129 · outbound

This paper cites Limits of dense graph sequences.Journal of Combinatorial Theory, Series B, 96(6):933–957.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Limits of dense graph sequences.Journal of Combinatorial Theory, Series B, 96(6):933–957

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.907226Z

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Observation a2cb90c9-f095-4c34-a396-ea0c0e5b087a · outbound

This paper cites American Mathematical Soc., 2012.

DiPhon: Diffusion on Graphons for Scalable Graph Generation American Mathematical Soc., 2012

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.887578Z

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Observation d1cba6a9-5741-48ff-a842-9d20c28a42cb · outbound

This paper cites Graphon signal processing.IEEE Transactions on Signal Processing, 69:4961–4976, 2021.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Graphon signal processing.IEEE Transactions on Signal Processing, 69:4961–4976, 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.892327Z

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Observation 35fdfbf7-ad0f-4a78-8531-51041a425ad1 · outbound

This paper cites Graphon neural networks and the transferability of graph neural networks.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Graphon neural networks and the transferability of graph neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.872424Z

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Observation 37cae9f7-2413-43ed-9068-798b5cfde3e4 · outbound

This paper cites Defog: Discrete flow matching for graph generation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Defog: Discrete flow matching for graph generation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.889320Z

Source-reported events for the cited work

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Observation 04878f06-fb4a-435e-9703-6f8678c47f96 · outbound

This paper cites Graph generation with diffusion mixture.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Graph generation with diffusion mixture

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.877391Z

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Observation 26bba3b7-a506-4f32-83d4-fbcd1fb46198 · outbound

This paper cites Dirichlet diffusion score model for biological sequence generation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Dirichlet diffusion score model for biological sequence generation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.891330Z

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Observation 2a12f770-f65d-416a-be17-e007753702ab · outbound

This paper cites Convergent sequences of dense graphs i: Subgraph frequencies, metric properties and testing.Advances in Mathematics, 219(6):1801–1851, 2008.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Convergent sequences of dense graphs i: Subgraph frequencies, metric properties and testing.Advances in Mathematics, 219(6):1801–1851, 2008

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.869986Z

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Observation 895fcf1d-12c7-4c3b-97dd-3cbe7dd623c5 · outbound

This paper cites Transferability of spectral graph convolutional neural networks.Journal of Machine Learning Research, 22(272):1–59.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Transferability of spectral graph convolutional neural networks.Journal of Machine Learning Research, 22(272):1–59

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.836800Z

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Observation b42b7b7c-57cf-4583-aa24-9159d4fc1250 · outbound

This paper cites Transferability of graph neural networks: an extended graphon approach.Applied and Computational Harmonic Analysis, 63:48–83.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Transferability of graph neural networks: an extended graphon approach.Applied and Computational Harmonic Analysis, 63:48–83

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.838957Z

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Observation 0b472152-b807-4aba-b4cd-caa500ae6338 · outbound

This paper cites Learning Graphon Autoencoders for Generative Graph Modeling.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Learning Graphon Autoencoders for Generative Graph Modeling

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:56:21.648514Z

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Observation 7eff4344-2564-4fe5-9996-a61e6e843930 · outbound

This paper cites Implicit graphon neural representation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Implicit graphon neural representation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.865478Z

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Observation d083a94f-7e63-4839-b314-3bdd21b17459 · outbound

This paper cites Scalable implicit graphon learning.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Scalable implicit graphon learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.908903Z

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Observation a634ed2a-dd71-46b6-ad29-159fc697026d · outbound

This paper cites Flowette: Flow Matching with Graphette Priors for Graph Generation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Flowette: Flow Matching with Graphette Priors for Graph Generation

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:56:21.654524Z

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Observation 3e2f0b43-69b5-476b-8118-2c13a4335159 · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Structured denoising diffusion models in discrete state-spaces

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.894271Z

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Observation 53760c12-f08b-4e82-b4f6-27a3663d3ab9 · outbound

This paper cites Permutation invariant graph generation via score-based generative modeling.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Permutation invariant graph generation via score-based generative modeling

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.851649Z

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Observation f4a7d2d3-e1b6-4f0c-92e1-6bbca7b5f7c5 · outbound

This paper cites Dirichlet flow matching with applications to dna sequence design.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Dirichlet flow matching with applications to dna sequence design

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.903349Z

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Observation 811fc0b9-ec5c-431e-94ed-1b2b47e0d032 · outbound

This paper cites Variational flow matching for graph generation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Variational flow matching for graph generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.860922Z

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Observation 4202211b-414e-49cd-8532-578d93d9aa1d · outbound

This paper cites Fisher flow matching for generative modeling over discrete data.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Fisher flow matching for generative modeling over discrete data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.853950Z

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Observation d0bb3c1e-d7ea-499b-a9a2-1294bd539314 · outbound

This paper cites Diffusion Models for Constrained Domains.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Diffusion Models for Constrained Domains

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:56:21.651658Z

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Observation 1b05b7dd-b7a9-437e-bc1b-04cd715cb8ba · outbound

This paper cites Riemannian score-based generative modelling.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Riemannian score-based generative modelling

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.881549Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 652668f4-ed32-421d-8e60-eb7213709182 · outbound

This paper cites Se (3) diffusion model with application to protein backbone generation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Se (3) diffusion model with application to protein backbone generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.916904Z

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Observation a5b931d8-dae8-4dbf-b4cb-e8c5ad881329 · outbound

This paper cites Reverse-time diffusion equation models.Stochastic Processes and their Applications, 12 (3):313–326, 1982.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Reverse-time diffusion equation models.Stochastic Processes and their Applications, 12 (3):313–326, 1982

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.845363Z

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Observation 3b09768e-329f-4a89-bb24-95471d7b2140 · outbound

This paper cites American Mathematical Soc.

DiPhon: Diffusion on Graphons for Scalable Graph Generation American Mathematical Soc

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.914836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c19a068a-3fa9-4e61-9fd7-255bc927d892 · outbound

This paper cites Graph inductive biases in transformers without message passing.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Graph inductive biases in transformers without message passing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.855894Z

Source-reported events for the cited work

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Observation e2fb95d2-5a5c-477c-ba52-d13291a4b285 · outbound

This paper cites Cometh: A continuous-time discrete-state graph diffusion model.Transactions of Machine Learning Research, 2025.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Cometh: A continuous-time discrete-state graph diffusion model.Transactions of Machine Learning Research, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.829984Z

Source-reported events for the cited work

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Observation da3c95d7-c7b8-4205-880a-c8914a4ca086 · outbound

This paper cites Graphons of Line Graphs.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Graphons of Line Graphs

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:56:21.657360Z

Source-reported events for the cited work

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Observation aad1daa4-c9f4-45cc-8dae-949a6a074667 · outbound

This paper cites Spectre: Spectral conditioning helps to overcome the expressivity limits of one-shot graph generators.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Spectre: Spectral conditioning helps to overcome the expressivity limits of one-shot graph generators

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.813183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d4fd197d-572b-43e0-b9f1-0be4d3460dd1 · outbound

This paper cites Convergent sequences of dense graphs ii.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Convergent sequences of dense graphs ii

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.834862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a0123517-d590-4084-bd62-8d66e765b91b · outbound

This paper cites Stochastic blockmodels: First steps.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Stochastic blockmodels: First steps

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.879629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 74aec583-d22c-402f-9e3d-12f1ec3ca667 · outbound

This paper cites Stochastic blockmodel approximation of a graphon: Theory and consistent estimation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Stochastic blockmodel approximation of a graphon: Theory and consistent estimation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.881276Z

Source-reported events for the cited work

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Observation 5e983b64-e465-4afe-8cfd-491b05fd8156 · outbound

This paper cites Diffstg: Probabilistic spatio-temporal graph forecasting with denoising diffusion models.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Diffstg: Probabilistic spatio-temporal graph forecasting with denoising diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.867638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 45d425a6-7c08-4044-b15a-290352e211c5 · outbound

This paper cites Graph signal generative diffusion models.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Graph signal generative diffusion models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.901628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6f1af0fc-17a3-4e2c-b750-b35c828f7692 · outbound

This paper cites Marques, Hadi Jamali-Rad, and Elvin Isufi.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Marques, Hadi Jamali-Rad, and Elvin Isufi

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.888600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5a93c65e-2fb9-4b39-832c-e73e90ce81f8 · outbound

This paper cites Diffusion models for graphs benefit from discrete state spaces.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Diffusion models for graphs benefit from discrete state spaces

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.875022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e958308b-4335-4bb5-a83c-82c83cd00331 · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.825651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c58aef7e-bfa3-4731-be55-2795b5429b67 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.812322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0268ee77-156d-411f-870f-c3e22b7f0e60 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Generative modeling by estimating gradients of the data distribution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.871135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d32e5358-a218-4ae0-96cd-4f961eb108ba · outbound

This paper cites Denoising diffusion probabilistic models.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Denoising diffusion probabilistic models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.886843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2d66c7e2-0481-40ac-bb90-127bf1995c95 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Score-based generative modeling through stochastic differential equations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.857179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4d7624d9-e2f1-41b5-89a1-723a63e4c0ce · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Estimation of non-normalized statistical models by score matching

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.912813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e1714cc3-3942-4579-93cd-a485407406ef · outbound

This paper cites A connection between score matching and denoising autoencoders.Neural computation, 23(7):1661–1674.

DiPhon: Diffusion on Graphons for Scalable Graph Generation A connection between score matching and denoising autoencoders.Neural computation, 23(7):1661–1674

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.893157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0afc6eeb-6af5-4214-b304-675e43d20ac1 · outbound

This paper cites Evolution in mendelian populations.Genetics, 16(2):97, 1931.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Evolution in mendelian populations.Genetics, 16(2):97, 1931

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.845074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0dd37a8d-0ba1-4823-b6b2-4c240dd79870 · outbound

This paper cites Elsevier, 1981.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Elsevier, 1981

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.863055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ac2a0b03-bf7e-48c3-b168-73efc1cac141 · outbound

This paper cites Springer Science & Business Media, 2011.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Springer Science & Business Media, 2011

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.837486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8fca9310-c96d-4e39-90bc-6f2a27fa1c4c · outbound

This paper cites The pearson diffusions: A class of statistically tractable diffusion processes.Scandinavian Journal of Statistics, 35(3):438–465, 2008.

DiPhon: Diffusion on Graphons for Scalable Graph Generation The pearson diffusions: A class of statistically tractable diffusion processes.Scandinavian Journal of Statistics, 35(3):438–465, 2008

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.901451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2b70892d-f05a-4060-b692-e38aa088441e · outbound

This paper cites Diffusion-type models with given marginal distribution and autocorrelation function.Bernoulli, 11(2):191–220, 2005.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Diffusion-type models with given marginal distribution and autocorrelation function.Bernoulli, 11(2):191–220, 2005

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.867038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4c42c151-712d-456e-98c1-06a2f1e1855c · outbound

This paper cites Large deviations for statistics of the jacobi process.Stochastic Processes and their Applications, 119(2):518–533, 2009.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Large deviations for statistics of the jacobi process.Stochastic Processes and their Applications, 119(2):518–533, 2009

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.896323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dc2e1bf4-2a7b-4697-b056-da3cb8e0a3b5 · outbound

This paper cites Multivariate jacobi process with application to smooth transitions.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Multivariate jacobi process with application to smooth transitions

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.816952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 007f3b69-99da-4284-ac3a-e16b5ff4a8bc · outbound

This paper cites Springer, 2014.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Springer, 2014

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.904225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ad2b0084-4e49-4bfa-900d-5650d0463f8c · outbound

This paper cites On the method of bounded differences.Surveys in combinatorics, 141(1):148–188, 1989.

DiPhon: Diffusion on Graphons for Scalable Graph Generation On the method of bounded differences.Surveys in combinatorics, 141(1):148–188, 1989

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.899029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b2aa9291-6f86-44e5-81be-359febfe7abb · outbound

This paper cites The numerical solution of stochastic differential equations.The ANZIAM Journal, 20(1):8–12, 1977.

DiPhon: Diffusion on Graphons for Scalable Graph Generation The numerical solution of stochastic differential equations.The ANZIAM Journal, 20(1):8–12, 1977

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.883941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation db1109de-633c-42d6-9ede-2591df441c3b · outbound

This paper cites N2 Z Ii×Ij 2Wt(x, y)dW t(x, y)dx dy # =E.

DiPhon: Diffusion on Graphons for Scalable Graph Generation N2 Z Ii×Ij 2Wt(x, y)dW t(x, y)dx dy # =E

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.877505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b54baae4-a366-46af-9bab-0852853b391d · outbound

This paper cites This family is the most naturally aligned with the graphon setting, since it admits a clear piecewise-constant graphon representation.

DiPhon: Diffusion on Graphons for Scalable Graph Generation This family is the most naturally aligned with the graphon setting, since it admits a clear piecewise-constant graphon representation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.852873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c682e183-87bf-4afd-afaf-a89051db92ca · outbound

This paper cites an unresolved cited work.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:56:21.884974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f97f6f7b-4e5b-4c81-b1bc-c846d297fe72 · outbound

This paper cites an unresolved cited work.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:56:21.827816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d7445e69-aaf5-452d-8251-df5fd24f819e · outbound

This paper cites Trees do not admit an associated graphon in the classical sense, so they provide a useful test of performance clearly outside the assumptions under which the theory is derived.

DiPhon: Diffusion on Graphons for Scalable Graph Generation Trees do not admit an associated graphon in the classical sense, so they provide a useful test of performance clearly outside the assumptions under which the theory is derived

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:56:21.810251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers