A Systematic Survey on Deep Generative Models for Graph Generation

13 July 2020

Papers citing "A Systematic Survey on Deep Generative Models for Graph Generation"

50 / 78 papers shown

Title
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation Arya Grayeli Vipin Swarup Steven E. Noel 16 0 0 12 May 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network Julian Carvajal Rico A. Alaeddini Syed Hasib Akhter Faruqui S. Fisher-Hoch J. McCormick 63 0 0 13 Mar 2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks Xiao Yue Guangzhi Qu Lige Gan GAN FAtt AI4CE 63 0 0 08 Mar 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Ryien Hosseini F. Simini V. Vishwanath Henry Hoffmann AI4CE 73 0 0 20 Dec 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation Shan Zhao Zhaiyu Chen Zhitong Xiong Yilei Shi Sudipan Saha Xiao Xiang Zhu AI4CE 41 2 0 05 Nov 2024
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning Qiliang Chen Babak Heydari DRL 27 0 0 30 Oct 2024
Generative AI Enabled Matching for 6G Multiple Access Xudong Wang Hongyang Du Dusit Niyato Lijie Zhou Lei Feng Zhixiang Yang F. I. S. Kevin Zhou Wenjing Li 26 1 0 29 Oct 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series Ilan Naiman Nimrod Berman Itai Pemper Idan Arbiv Gal Fadlon Omri Azencot 24 8 0 25 Oct 2024
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling Hritaban Ghosh Chen Changyu Arunesh Sinha Shamik Sural 19 0 0 15 Oct 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 26 0 0 18 Sep 2024
LLMs generate structurally realistic social networks but overestimate political homophily Serina Chang Alicja Chaszczewicz Emma Wang Maya Josifovska Emma Pierson J. Leskovec 40 6 0 29 Aug 2024
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models Samuel Cognolato A. Sperduti Luciano Serafini DiffM 24 0 0 23 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 19 1 0 08 Aug 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 43 2 0 03 Jul 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 36 0 0 25 Jun 2024
Large Generative Graph Models Yu Wang Ryan A. Rossi Namyong Park Huiyuan Chen Nesreen K. Ahmed Puja Trivedi Franck Dernoncourt Danai Koutra Tyler Derr AI4CE 21 3 0 07 Jun 2024
KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning Yusong Zhang Kun Xie Xingyi Zhang Xiangyu Dong Sibo Wang 24 0 0 21 May 2024
SteinGen: Generating Fidelitous and Diverse Graph Samples G. Reinert Wenkai Xu 16 1 0 27 Mar 2024
Exploring the Potential of Large Language Models in Graph Generation Yang Yao Xin Eric Wang Zeyang Zhang Yi Qin Ziwei Zhang Xu Chu Yuekui Yang Wenwu Zhu Hong-yan Mei 27 11 0 21 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 34 36 0 07 Mar 2024
Graph Diffusion Policy Optimization Yijing Liu Chao Du Tianyu Pang Chongxuan Li Wei Chen Min-Bin Lin 24 7 0 26 Feb 2024
Continual Learning on Graphs: Challenges, Solutions, and Opportunities Xikun Zhang Dongjin Song Dacheng Tao CLL 21 7 0 18 Feb 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 54 25 0 14 Feb 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 25 1 0 04 Feb 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications Xijun Li Fangzhou Zhu Hui-Ling Zhen Weilin Luo Meng Lu ... Jia Zeng M. Yuan Jianye Hao Jun Yao Kun Mao 18 1 0 11 Jan 2024
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems Hongjian Gu Yaochen Hu Yingxue Zhang CML BDL 16 0 0 30 Nov 2023
Controllable Data Generation Via Iterative Data-Property Mutual Mappings Bo Pan Muran Qin Shiyu Wang Yifei Zhang Liang Zhao 41 0 0 11 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 16 19 0 08 Oct 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability Zijie Geng Xijun Li Jie Wang Xiao Li Yongdong Zhang Feng Wu 36 16 0 04 Oct 2023
XFlow: Benchmarking Flow Behaviors over Graphs Zijian Zhang Zonghan Zhang Zhiqian Chen 23 0 0 07 Aug 2023
Structural Embeddings of Tools for Large Language Models Eren Unlu 11 1 0 01 Aug 2023
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation Stratis Limnios Praveen Selvaraj Mihai Cucuringu Carsten Maple G. Reinert Andrew Elliott DiffM 17 7 0 29 Jun 2023
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 32 3 0 20 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Fang Li Yi Nian Zenan Sun Cui Tao LM&MA OOD AI4TS AI4CE 25 5 0 18 Jun 2023
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae Gaia Saveri Luca Bortolussi NAI 28 3 0 03 May 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 6 1 0 11 Apr 2023
FairGen: Towards Fair Graph Generation Lecheng Zheng Dawei Zhou Hanghang Tong Jiejun Xu Yada Zhu Jingrui He 17 7 0 30 Mar 2023
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows Chao Qi Jianqin Yin Jinghang Xu Pengxiang Ding 3DPC 19 4 0 21 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications C. Liu Wenqi Fan Yunqing Liu Jiatong Li Hang Li Hui Liu Jiliang Tang Qing Li MedIm DiffM 8 57 0 06 Feb 2023
Improving Graph Generation by Restricting Graph Bandwidth N. Diamant Alex Tseng Kangway V Chuang Tommaso Biancalani Gabriele Scalia 6 7 0 25 Jan 2023
Recent advances in artificial intelligence for retrosynthesis Zipeng Zhong Jie Song Zunlei Feng Tiantao Liu Lingxiang Jia Shaolun Yao Tingjun Hou Mingli Song 19 5 0 14 Jan 2023
Realistic Synthetic Social Networks with Graph Neural Networks Alex O. Davies Nirav Ajmeri 14 5 0 15 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 13 42 0 04 Dec 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 11 22 0 16 Nov 2022
G2A2: An Automated Graph Generator with Attributes and Anomalies S. Dey Sonal Jha Wu-chun Feng 6 0 0 14 Oct 2022
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang Xiaojie Guo Xuanyang Lin Bo Pan Yuanqi Du ... S. Alkhalifa K. Minbiole Bill Wuest Amarda Shehu Liang Zhao AI4CE 42 14 0 01 Oct 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 38 82 0 07 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 19 6 0 25 Aug 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 20 12 0 23 Aug 2022