Learning Deep Generative Models of Graphs

8 March 2018

Papers citing "Learning Deep Generative Models of Graphs"

50 / 146 papers shown

Title
Neuroplastic graph attention networks for nuclei segmentation in histopathology images Yoav Alon Huiyu Zhou GNN 27 3 0 10 Jan 2022
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production Ben Saunders Necati Cihan Camgöz Richard Bowden SLR 37 17 0 06 Dec 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos Cesare Alippi L. Pozzi 32 4 0 29 Nov 2021
Federated Data Science to Break Down Silos [Vision] Essam Mansour Kavitha Srinivas Katja Hose FedML AI4CE 45 8 0 25 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 43 21 0 23 Nov 2021
Structure-aware generation of drug-like molecules Pavol Drotár Arian R. Jamasb Ben Day Cătălina Cangea Pietro Lio 36 17 0 07 Nov 2021
A Scalable AutoML Approach Based on Graph Neural Networks M. Helali Essam Mansour Ibrahim Abdelaziz Julian T Dolby Kavitha Srinivas GNN 29 12 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 20 20 0 29 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 22 136 0 09 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Unconditional Scene Graph Generation Sarthak Garg Helisa Dhamo Azade Farshad Sabrina Musatian Nassir Navab F. Tombari 18 23 0 12 Aug 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 34 287 0 26 Jul 2021
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation Marco Podda D. Bacciu BDL 30 9 0 18 Jul 2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN Shai Ben-Assayag Ran El-Yaniv GNN 33 9 0 18 Jul 2021
Graph Representation Learning for Road Type Classification Zahra Gharaee S. Kowshik Oliver Stromann M. Felsberg GNN 19 30 0 16 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 18 81 0 05 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 108 0 01 Jul 2021
Improving black-box optimization in VAE latent space using decoder uncertainty Pascal Notin José Miguel Hernández-Lobato Y. Gal 32 61 0 30 Jun 2021
Molecule Generation by Principal Subgraph Mining and Assembling Xiangzhe Kong Wenbing Huang Zhixing Tan Yang Liu GNN 21 45 0 29 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
Learning Knowledge Graph-based World Models of Textual Environments Prithviraj Ammanabrolu Mark O. Riedl 3DV 26 31 0 17 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
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 40 100 0 09 Jun 2021
Polygrammar: Grammar for Digital Polymer Representation and Generation Minghao Guo Wan Shou L. Makatura Timothy Erps Michael Foshey Wojciech Matusik 35 24 0 05 May 2021
AMR Parsing with Action-Pointer Transformer Jiawei Zhou Tahira Naseem Ramón Fernández Astudillo Radu Florian 46 44 0 29 Apr 2021
Barking up the right tree: an approach to search over molecule synthesis DAGs John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 53 56 0 21 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 28 136 0 14 Dec 2020
Generative Layout Modeling using Constraint Graphs W. Para Paul Guerrero Tom Kelly Leonidas J. Guibas Peter Wonka 31 68 0 26 Nov 2020
Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 29 64 0 25 Nov 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Xingliang Yuan MIACV MLAU 55 53 0 24 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks Jovita Lukasik David Friede Heiner Stuckenschmidt M. Keuper GNN AI4CE 46 10 0 19 Oct 2020
3DMolNet: A Generative Network for Molecular Structures V. Nesterov Mario Wieser Volker Roth AI4CE 173 33 0 08 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 36 225 0 30 Sep 2020
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction Xiong Dan 11 7 0 22 Sep 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 44 147 0 13 Jul 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 27 137 0 13 Jul 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 21 43 0 17 Jun 2020
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation Simon Axelrod Rafael Gómez-Bombarelli 3DV AI4CE 33 208 0 09 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 38 46 0 09 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 34 389 0 03 Jun 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 30 83 0 18 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 285 0 07 May 2020
Autonomous discovery in the chemical sciences part II: Outlook Connor W. Coley Natalie S. Eyke K. Jensen 29 171 0 30 Mar 2020
A Graph to Graphs Framework for Retrosynthesis Prediction Chence Shi Minkai Xu Hongyu Guo Ming Zhang Jian Tang 19 151 0 28 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end A. Nassar Stefano Dáronco Sébastien Lefèvre Jan Dirk Wegner ObjD 22 3 0 23 Mar 2020
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution Xiaojie Guo Liang Zhao Cameron Nowzari S. Rafatirad Houman Homayoun Sai Manoj P D 45 27 0 22 Mar 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics G. Simm Robert Pinsler José Miguel Hernández-Lobato AI4CE 21 82 0 18 Feb 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 28 31 0 14 Feb 2020