GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

9 February 2018

Papers citing "GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders"

50 / 138 papers shown

Title
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation Arya Grayeli Vipin Swarup Steven E. Noel 33 0 0 12 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective Hao Zhang Xunkai Li Bo Li Lianglin Hu FedML DD AI4CE 49 0 0 05 May 2025
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation Cong Liu Sharvaree P. Vadgama David Ruhe Erik J Bekkers Patrick Forré DiffM 22 0 0 22 Apr 2025
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling Yanchen Luo Zhiyuan Liu Yi Zhao Sihang Li Kenji Kawaguchi Tat-Seng Chua Xuben Wang MedIm 69 0 0 19 Mar 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Yiming Huang Tolga Birdal DiffM 78 0 0 06 Feb 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Shuaiqun Pan Yash J. Patel Aneta Neumann Frank Neumann Thomas Bäck Hao Wang 36 0 0 30 Jan 2025
Learning to generate feasible graphs using graph grammars Stefan Mautner Rolf Backofen Fabrizio Costa 43 0 0 10 Jan 2025
ArtFormer: Controllable Generation of Diverse 3D Articulated Objects Jiayi Su Youhe Feng Zheng Li Jinhua Song Yangfan He Botao Ren Botian Xu AI4CE 91 2 0 10 Dec 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation Félix Marcoccia C. Adjih P. Mühlethaler DiffM 16 0 0 09 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance Yuchen Shen Chenhao Zhang Sijie Fu Chenghui Zhou Newell Washburn Barnabás Póczos 52 0 0 09 Oct 2024
LLMs generate structurally realistic social networks but overestimate political homophily Serina Chang Alicja Chaszczewicz Emma Wang Maya Josifovska Emma Pierson J. Leskovec 44 6 0 29 Aug 2024
Deep Generative Models for Subgraph Prediction Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte BDL GNN 30 0 0 07 Aug 2024
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens Félix Marcoccia C. Adjih P. Mühlethaler 43 0 0 28 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 43 10 0 19 May 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 47 5 0 09 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding L. Akoglu DiffM 23 8 0 06 Feb 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 34 1 0 04 Feb 2024
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 53 1 0 23 Jan 2024
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 39 1 0 08 Jan 2024
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models Christian Harder Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay 30 0 0 25 Oct 2023
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction Han Qi Xinyang Geng Stefano Rando Iku Ohama Aviral Kumar Sergey Levine DiffM 42 2 0 16 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network Akihiro Kishimoto Hiroshi Kajino Masataka Hirose Junta Fuchiwaki Indra Priyadarsini Lisa Hamada Hajime Shinohara D. Nakano Seiji Takeda AI4CE 31 4 0 28 Sep 2023
GraphRNN Revisited: An Ablation Study and Extensions for Directed Acyclic Graphs Taniya Das Mark Koch Maya Ravichandran Nikhil Khatri GNN 11 0 0 26 Jul 2023
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 39 3 0 20 Jun 2023
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs H. Cui Sha Li Yu Zhang Qi Shi 13 1 0 01 Jun 2023
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 38 1 0 31 May 2023
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence Amin Beheshti Jian Yang Quan.Z Sheng B. Benatallah Fabio Casati Schahram Dustdar H. M. Nezhad Xuyun Zhang Shan Xue AI4CE 14 38 0 29 May 2023
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation Han Huang Leilei Sun Bowen Du Weifeng Lv DiffM 24 16 0 21 May 2023
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision P. F. Pimenta Pedro H. C. Avelar Luís C. Lamb 25 1 0 19 Apr 2023
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery Daniel Manu Jingjing Yao Wuji Liu Xiang Sun FedML 35 6 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 51 141 0 11 Apr 2023
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow Fangce Sun Zhihao Zhan Hongyu Guo Ming Zhang Jian Tang 26 6 0 23 Feb 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 21 0 0 26 Jan 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis Kaizhong Zheng Shujian Yu Badong Chen CML 30 31 0 04 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 45 40 0 01 Jan 2023
Improving Molecule Properties Through 2-Stage VAE Chenghui Zhou Barnabás Póczós DRL 28 1 0 06 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 29 42 0 04 Dec 2022
GrannGAN: Graph annotation generative adversarial networks Yoann Boget Magda Gregorova Alexandros Kalousis GAN 15 0 0 01 Dec 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs P. Bongini Elisa Messori Niccolò Pancino Monica Bianchini GNN OOD 21 2 0 30 Nov 2022
Self Supervised Clustering of Traffic Scenes using Graph Representations Maximilian Zipfl Moritz Jarosch J. Marius Zöllner GNN 29 2 0 24 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 17 21 0 19 Nov 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 13 23 0 16 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 74 4 0 11 Nov 2022
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 39 4 0 07 Nov 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 29 10 0 30 Oct 2022
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries Aryan Pedawi P. Gniewek Chao-Ling Chang Brandon M. Anderson H. V. D. Bedem 34 5 0 19 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 35 53 0 16 Oct 2022
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery Jenna C. Fromer Connor W. Coley 29 67 0 13 Oct 2022