Learning Deep Generative Models of Graphs

8 March 2018

Papers citing "Learning Deep Generative Models of Graphs"

50 / 86 papers shown

Title
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Yiming Huang Tolga Birdal DiffM 76 0 0 06 Feb 2025
Learning to generate feasible graphs using graph grammars Stefan Mautner Rolf Backofen Fabrizio Costa 34 0 0 10 Jan 2025
Sub-graph Based Diffusion Model for Link Prediction Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Jiliang Tang DiffM 26 0 0 13 Sep 2024
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly Mengqi Guo Chen Li Yuyang Zhao Gim Hee Lee ViT 28 0 0 22 Jul 2024
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 33 5 0 05 Dec 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
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi CML 26 2 0 20 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 45 55 0 10 Oct 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
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
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller M. Keuper 22 1 0 18 Jul 2023
Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files Daniel Flam-Shepherd Alán Aspuru-Guzik 17 51 0 09 May 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer Cheng Tan Zhangyang Gao Lirong Wu Jun-Xiong Xia Jiangbin Zheng Xihong Yang Yue Liu Bozhen Hu Stan Z. Li 22 14 0 21 Apr 2023
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 16 61 0 28 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 13 21 0 19 Nov 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 13 22 0 16 Nov 2022
Projecting Non-Fungible Token (NFT) Collections: A Contextual Generative Approach W. Tann Akhil Vuputuri E. Chang 9 2 0 14 Oct 2022
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design Keir Adams Connor W. Coley 34 25 0 06 Oct 2022
Generative Graphical Inverse Kinematics Oliver Limoyo Filip Marić Matthew Giamou Petra Alexson Ivan Petrović Jonathan Kelly 32 1 0 19 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 24 6 0 25 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 30 366 0 05 Aug 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 29 28 0 19 Jul 2022
Enhancing Security Patch Identification by Capturing Structures in Commits Bozhi Wu Shangqing Liu Ruitao Feng Xiaofei Xie J. Siow Shang-Wei Lin 17 30 0 19 Jul 2022
GEMS: Scene Expansion using Generative Models of Graphs Rishi G. Agarwal Tirupati Saketh Chandra Vaidehi Patil Aniruddha Mahapatra K. Kulkarni Vishwa Vinay 28 4 0 08 Jul 2022
Learning Graph Structure from Convolutional Mixtures Max Wasserman Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro GNN CML BDL 25 6 0 19 May 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design Yinan Huang Xing Peng Jianzhu Ma Muhan Zhang BDL 28 46 0 15 May 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 25 66 0 04 Apr 2022
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series J. Clarkson Mihai Cucuringu Andrew Elliott G. Reinert AI4TS 13 2 0 28 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient Jovita Lukasik Steffen Jung M. Keuper 19 15 0 16 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 26 67 0 13 Mar 2022
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks Qi Zhang Chang Liu Stephen Wu Ryo Yoshida BDL 22 3 0 01 Mar 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 29 143 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 50 19 0 28 Feb 2022
MGCVAE: Multi-objective Inverse Design via Molecular Graph Conditional Variational Autoencoder Myeong-Sung Lee K. Min 17 41 0 14 Feb 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 14 207 0 05 Feb 2022
Neuroplastic graph attention networks for nuclei segmentation in histopathology images Yoav Alon Huiyu Zhou GNN 22 3 0 10 Jan 2022
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos C. Alippi L. Pozzi 16 4 0 29 Nov 2021
Federated Data Science to Break Down Silos [Vision] Essam Mansour Kavitha Srinivas K. Hose FedML AI4CE 17 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 33 21 0 23 Nov 2021
A Scalable AutoML Approach Based on Graph Neural Networks M. Helali Essam Mansour Ibrahim Abdelaziz Julian T Dolby Kavitha Srinivas GNN 15 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 11 20 0 29 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 13 175 0 21 Oct 2021
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design Wengong Jin Jeremy Wohlwend Regina Barzilay Tommi Jaakkola 6 136 0 09 Oct 2021
Unconditional Scene Graph Generation Sarthak Garg Helisa Dhamo Azade Farshad Sabrina Musatian Nassir Navab F. Tombari 10 23 0 12 Aug 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 22 285 0 26 Jul 2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN Shai Ben-Assayag Ran El-Yaniv GNN 18 9 0 18 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 8 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 11 105 0 01 Jul 2021
Improving black-box optimization in VAE latent space using decoder uncertainty Pascal Notin José Miguel Hernández-Lobato Y. Gal 14 61 0 30 Jun 2021
Molecule Generation by Principal Subgraph Mining and Assembling Xiangzhe Kong Wenbing Huang Zhixing Tan Yang Liu GNN 16 45 0 29 Jun 2021