Efficient Graph Generation with Graph Recurrent Attention Networks

2 October 2019

Shenlong Wang

Papers citing "Efficient Graph Generation with Graph Recurrent Attention Networks"

50 / 194 papers shown

Title
Graph Learning based Generative Design for Resilience of Interdependent Network Systems Jiaxin Wu Pingfeng Wang AI4CE 31 6 0 03 Jul 2022
Evaluating Graph Generative Models with Contrastively Learned Features Hamed Shirzad Kaveh Hassani Danica J. Sutherland 22 7 0 13 Jun 2022
Learning Graph Structure from Convolutional Mixtures Max Wasserman Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro GNN CML BDL 37 6 0 19 May 2022
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou 11 9 0 11 Apr 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 44 67 0 04 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 41 574 0 31 Mar 2022
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series J. Clarkson Mihai Cucuringu Andrew Elliott Gesine Reinert AI4TS 21 2 0 28 Mar 2022
Gransformer: Transformer-based Graph Generation Ahmad Khajenezhad Seyed Ali Osia Mahmood Karimian H. Beigy 24 2 0 25 Mar 2022
Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions Konstantinos Kogkalidis M. Moortgat 26 9 0 23 Mar 2022
Data-Efficient Graph Grammar Learning for Molecular Generation Minghao Guo Veronika Thost Beichen Li Payel Das Jie Chen Wojciech Matusik 43 36 0 15 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 31 67 0 13 Mar 2022
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators Wenkai Xu Gesine Reinert 35 4 0 07 Mar 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs Shubham Gupta S. Manchanda Srikanta J. Bedathur Sayan Ranu 27 18 0 07 Mar 2022
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks Zhe Li A. Tolias Xaq Pitkow AI4CE 42 3 0 22 Feb 2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs Ciwan Ceylan Petra Poklukar Hanna Hultin Alexander Kravchenko Anastasia Varava Danica Kragic 26 1 0 08 Feb 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte Rémi Flamary Céline Brouard Juho Rousu Florence dÁlché-Buc 33 19 0 08 Feb 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 22 211 0 05 Feb 2022
On Evaluation Metrics for Graph Generative Models Rylee Thompson Boris Knyazev Elahe Ghalebi Jungtaek Kim Graham W. Taylor EGVM 42 41 0 24 Jan 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks Kartik Sharma S. Verma Sourav Medya Arnab Bhattacharya Sayan Ranu AAML 21 8 0 25 Dec 2021
Permutation Equivariant Generative Adversarial Networks for Graphs Yoann Boget Magda Gregorova Alexandros Kalousis GAN 16 0 0 07 Dec 2021
Keeping it Simple: Language Models can learn Complex Molecular Distributions Daniel Flam-Shepherd Kevin Zhu A. Aspuru‐Guzik 133 142 0 06 Dec 2021
Cyclic Graph Attentive Match Encoder (CGAME): A Novel Neural Network For OD Estimation Guanzhou Li Yujing He Jianping Wu Duowei Li BDL 13 0 0 26 Nov 2021
SchemaDB: Structures in Relational Datasets Cody James Christopher Kristen Moore David Liebowitz 10 3 0 24 Nov 2021
Structure-aware generation of drug-like molecules Pavol Drotár Arian R. Jamasb Ben Day Cătălina Cangea Pietro Lio 39 17 0 07 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention S. Tan Runpei Dong Kaisheng Ma 22 2 0 03 Nov 2021
On the Power of Edge Independent Graph Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 33 15 0 29 Oct 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning H. Chung Jungtaek Kim Boris Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho SSL OffRL 23 20 0 29 Oct 2021
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations Simon Giebenhain Bastian Goldlücke 3DPC 26 15 0 22 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 34 175 0 21 Oct 2021
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design Wengong Jin Jeremy Wohlwend Regina Barzilay Tommi Jaakkola 27 136 0 09 Oct 2021
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation Yassaman Ommi Matin Yousefabadi Faezeh Faez Amirmojtaba Sabour M. Baghshah Hamid R. Rabiee GNN CML BDL 42 4 0 07 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 71 34 0 05 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 40 250 0 03 Oct 2021
Deep Generative Models to Extend Active Directory Graphs with Honeypot Users Ondrej Lukás S. Garcia 38 7 0 13 Sep 2021
Unconditional Scene Graph Generation Sarthak Garg Helisa Dhamo Azade Farshad Sabrina Musatian Nassir Navab F. Tombari 18 23 0 12 Aug 2021
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering Jingjing Jiang Zi-yi Liu Yifan Liu Zhixiong Nan N. Zheng OOD 36 19 0 24 Jul 2021
Group-Node Attention for Community Evolution Prediction Matt Revelle C. Domeniconi Ben U. Gelman 42 3 0 09 Jul 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 19 13 0 05 Jul 2021
Multi-modal Graph Learning for Disease Prediction Shuai Zheng Zhenfeng Zhu Zhizhe Liu Zhenyu Guo Yang Liu Yao Zhao 34 97 0 01 Jul 2021
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning Kiarash Zahirnia A. Sakhuja Oliver Schulte P. Nadaf Ke Li Xia Hu 24 0 0 29 Jun 2021
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps Lu Mi Hang Zhao C. Nash Xiaohan Jin Jiyang Gao Chen Sun Cordelia Schmid Nir Shavit Yuning Chai Drago Anguelov 22 52 0 28 Jun 2021
TD-GEN: Graph Generation With Tree Decomposition Hamed Shirzad Hossein Hajimirsadeghi A. Abdi Greg Mori 39 3 0 20 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining Oriel Frigo Rémy Brossard David Dehaene 37 1 0 18 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 38 11 0 14 Jun 2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs Seongjun Yun Minbyul Jeong Sungdong Yoo Seunghun Lee Sean S. Yi Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 24 65 0 11 Jun 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen Xu Han Jiajing Hu Francisco J. R. Ruiz Liping Liu BDL 24 34 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance Wenhao Ding Hao-ming Lin Bo-wen Li Ding Zhao GAN 33 0 0 08 Jun 2021
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions Leslie O’Bray Max Horn Bastian Alexander Rieck Karsten M. Borgwardt 27 40 0 02 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong-Son Hy Risi Kondor 16 18 0 02 Jun 2021