Deep Graph Generators: A Survey

IEEE Access (IEEE Access), 2020

31 December 2020

Papers citing "Deep Graph Generators: A Survey"

35 / 35 papers shown

Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents

Haozhuo Zheng

Cheng Wang

Yang Liu

02 Dec 2025

Graph Diffusion that can Insert and Delete

470

06 Jun 2025

Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation

Arya Grayeli

Vipin Swarup

Steven E. Noel

344

12 May 2025

Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language modelsApplied Soft Computing (Appl. Soft Comput.), 2024

266

07 Oct 2024

Deep Generative Models for Subgraph PredictionEuropean Conference on Artificial Intelligence (ECAI), 2024

346

07 Aug 2024

Introducing Diminutive Causal Structure into Graph Representation Learning

Hang Gao

Peng Qiao

Yifan Jin

Fengge Wu

Jiangmeng Li

Changwen Zheng

307

13 Jun 2024

Large Generative Graph Models

Yu Wang

Franck Dernoncourt

352

07 Jun 2024

A Review on Fragment-based De Novo 2D Molecule Generation

Sergei Voloboev

VLM

328

08 May 2024

An embedding-based distance for temporal graphsNature Communications (Nat. Commun.), 2024

Lorenzo DallÁmico

Alain Barrat

C. Cattuto

347

23 Jan 2024

MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network

269

28 Sep 2023

SANGEA: Scalable and Attributed Network GenerationAsian Conference on Machine Learning (ACML), 2023

299

27 Sep 2023

SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation

319

29 Jun 2023

Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing

Wei Lu

Nicolas A. Lee

Markus J. Buehler

AI4CE

188

11 Apr 2023

Blind Estimation of Audio Processing GraphIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

223

15 Mar 2023

Generative Diffusion Models on Graphs: Methods and ApplicationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023

511

102

06 Feb 2023

GrannGAN: Graph annotation generative adversarial networksAsian Conference on Machine Learning (ACML), 2022

241

01 Dec 2022

A Framework for Large Scale Synthetic Graph Dataset GenerationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022

576

04 Oct 2022

SCGG: A Deep Structure-Conditioned Graph Generative ModelPLoS ONE (PLoS ONE), 2022

Faezeh Faez

Negin Hashemi Dijujin

M. Baghshah

Hamid R. Rabiee

GNN BDL

211

20 Sep 2022

A Survey on Temporal Graph Representation Learning and Generative Modeling

Shubham Gupta

Srikanta J. Bedathur

AI4TS AI4CE

169

25 Aug 2022

Deception for Cyber Defence: Challenges and OpportunitiesInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2021

David Liebowitz

Surya Nepal

Kristen Moore

Cody James Christopher

264

15 Aug 2022

Controllable Data Generation by Deep Learning: A ReviewACM Computing Surveys (ACM CSUR), 2022

778

19 Jul 2022

An Unpooling Layer for Graph GenerationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022

Yi Guo

Dongmian Zou

Gilad Lerman

357

04 Jun 2022

Graph Machine Learning for Design of High-Octane FuelsAIChE Journal (AIChE J.), 2022

Jan G. Rittig

Martin Ritzert

Artur M. Schweidtmann

407

01 Jun 2022

G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-Training

281

19 Apr 2022

Gransformer: Transformer-based Graph Generation

357

25 Mar 2022

A Survey on Deep Graph Generation: Methods and ApplicationsLOG IN (LOG IN), 2022

508

13 Mar 2022

Molecule Generation for Drug Design: a Graph Learning PerspectiveFundamental Research (FR), 2022

465

18 Feb 2022

GraphTune: A Learning-based Graph Generative Model with Tunable Structural FeaturesIEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022

177

27 Jan 2022

Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2021

437

16 Nov 2021

Deconvolutional Networks on Graph DataNeural Information Processing Systems (NeurIPS), 2021

Yang Liu

158

29 Oct 2021

CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation

336

07 Oct 2021

Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs

239

26 May 2021

DIG: A Turnkey Library for Diving into Graph Deep Learning ResearchJournal of machine learning research (JMLR), 2021

...

339

132

23 Mar 2021

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A ReviewNeurocomputing (Neurocomputing), 2020

...

809

194

16 Jul 2020

A Systematic Survey on Deep Generative Models for Graph GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020

Xiaojie Guo

Bo Pan

MedIm

586

193

13 Jul 2020