GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

24 February 2018

Xiang Ren

Papers citing "GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models"

50 / 426 papers shown

Title
Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose Michael Kilgour Mark Tuckerman J. Rogal 27 0 0 22 May 2024
Score-based Generative Models with Adaptive Momentum Ziqing Wen Xiaoge Deng Ping Luo Tao Sun Dongsheng Li DiffM 37 0 0 22 May 2024
KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning Yusong Zhang Kun Xie Xingyi Zhang Xiangyu Dong Sibo Wang 29 0 0 21 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 32 8 0 19 May 2024
Generated Contents Enrichment Mahdi Naseri Jiayan Qiu Zhou Wang 29 0 0 06 May 2024
Hyperbolic Geometric Latent Diffusion Model for Graph Generation Xingcheng Fu Yisen Gao Yuecen Wei Qingyun Sun Hao Peng Jianxin Li Xianxian Li 27 4 0 06 May 2024
Nip in the Bud: Forecasting and Interpreting Post-exploitation Attacks in Real-time through Cyber Threat Intelligence Reports Tiantian Zhu Jie Ying Tieming Chen Chunlin Xiong Wenrui Cheng Qixuan Yuan Aohan Zheng Mingqi Lv Yan Chen 28 4 0 05 May 2024
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond Kaichen Xu Yueyang Ding Suyang Hou Weiqiang Zhan Nisang Chen Jun Wang Xiaobo Sun 14 2 0 26 Apr 2024
Proteus: Preserving Model Confidentiality during Graph Optimizations Yubo Gao Maryam Haghifam Christina Giannoula Renbo Tu Gennady Pekhimenko Nandita Vijaykumar AAML 31 1 0 18 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 40 6 0 09 Apr 2024
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design Xinze Li Penglei Wang Tianfan Fu Wenhao Gao Chengtao Li Leilei Shi Junhong Liu 33 2 0 02 Apr 2024
SteinGen: Generating Fidelitous and Diverse Graph Samples G. Reinert Wenkai Xu 29 1 0 27 Mar 2024
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization Van Khoa Nguyen Yoann Boget Frantzeska Lavda Alexandros Kalousis 29 2 0 25 Mar 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models Iakovos Evdaimon Giannis Nikolentzos Michail Chatzianastasis Hadi Abdine Michalis Vazirgiannis DiffM 22 4 0 03 Mar 2024
GraphRCG: Self-Conditioned Graph Generation Song Wang Zhen Tan Xinyu Zhao Tianlong Chen Huan Liu Jundong Li 36 0 0 02 Mar 2024
GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks Amir Jalalirad Davide Belli Bence Major Songwon Jee Himanshu Shah Will Morrison 25 1 0 28 Feb 2024
Graph Diffusion Policy Optimization Yijing Liu Chao Du Tianyu Pang Chongxuan Li Wei Chen Min-Bin Lin 24 7 0 26 Feb 2024
Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy Zehao Dong Yixin Chen Hiram Gay Yao Hao Geoff Hugo Pamela Samson Tianyu Zhao 34 0 0 11 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 32 5 0 09 Feb 2024
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior Chenguo Lin Yadong Mu 3DV 14 32 0 07 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding L. Akoglu DiffM 21 8 0 06 Feb 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 30 1 0 04 Feb 2024
DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks Zehao Dong Yixin Chen Tianyu Zhao OOD 29 2 0 02 Feb 2024
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models Kay Liu Hengrui Zhang Ziqing Hu Fangxin Wang Philip S. Yu 19 3 0 29 Dec 2023
Classifier-free graph diffusion for molecular property targeting Matteo Ninniri Marco Podda Davide Bacciu 35 5 0 28 Dec 2023
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 37 12 0 21 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Efficient and Scalable Graph Generation through Iterative Local Expansion Andreas Bergmeister Karolis Martinkus Nathanael Perraudin Roger Wattenhofer 21 12 0 14 Dec 2023
GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking Shu Yin Chao Gao Zhen Wang SSL GNN 34 22 0 10 Dec 2023
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 18 1 0 06 Dec 2023
A Simple and Scalable Representation for Graph Generation Yunhui Jang Seul Lee Sungsoo Ahn 11 4 0 04 Dec 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks Puja Trivedi Ryan A. Rossi David Arbour Tong Yu Franck Dernoncourt Sungchul Kim Nedim Lipka Namyong Park Nesreen K. Ahmed Danai Koutra DiffM 24 0 0 29 Nov 2023
Metric Space Magnitude for Evaluating the Diversity of Latent Representations K. Limbeck R. Andreeva Rik Sarkar Bastian Alexander Rieck 22 3 0 27 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation Yiming Qin Clément Vignac Pascal Frossard 19 12 0 03 Nov 2023
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification Yulan Hu Ouyang Sheng Zhirui Yang Yong Liu 25 0 0 02 Nov 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 34 4 0 30 Oct 2023
EDGE++: Improved Training and Sampling of EDGE Mingyang Wu Xiaohui Chen Liping Liu DiffM 18 2 0 22 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 22 7 0 20 Oct 2023
ARTree: A Deep Autoregressive Model for Phylogenetic Inference Tianyu Xie Cheng Zhang 20 4 0 14 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta S. Manchanda H. Kodamana Sayan Ranu DD 18 14 0 14 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 21 19 0 08 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking Mert Kosan S. Verma Burouj Armgaan Khushbu Pahwa Ambuj K. Singh Sourav Medya Sayan Ranu 21 13 0 03 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 23 12 0 01 Oct 2023
A Comprehensive Review of Community Detection in Graphs Jiakang Li Songlai Ning Zhihao Shuai Yuan Tan Yifan Jia ... Yongxin Ni Haifeng Qiu Jiayu Yang Y. Lu Yonggang Lu GNN 19 20 0 21 Sep 2023
PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips Nicolas Hubert Pierre Monnin Mathieu dÁquin D. Monticolo Armelle Brun 22 2 0 07 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 35 1 0 01 Sep 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 26 30 0 31 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 23 7 0 22 Aug 2023
Data-driven Intra-Autonomous Systems Graph Generator Caio Vinicius Dadauto N. Fonseca Ricardo da Silva Torres 19 1 0 09 Aug 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