Learning Deep Generative Models of Graphs

8 March 2018

Papers citing "Learning Deep Generative Models of Graphs"

50 / 142 papers shown

Title
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation Arya Grayeli Vipin Swarup Steven E. Noel 36 0 0 12 May 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Yiming Huang Tolga Birdal DiffM 78 0 0 06 Feb 2025
Learning to generate feasible graphs using graph grammars Stefan Mautner Rolf Backofen Fabrizio Costa 43 0 0 10 Jan 2025
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li Viraj Shitole Eli Chien Changhai Man Zhaodong Wang Srinivas Sridharan Ying Zhang Tushar Krishna P. Li 41 0 0 04 Nov 2024
Sub-graph Based Diffusion Model for Link Prediction Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Jiliang Tang DiffM 33 0 0 13 Sep 2024
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly Mengqi Guo Chen Li Yuyang Zhao Gim Hee Lee ViT 37 0 0 22 Jul 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding Leman Akoglu DiffM 29 8 0 06 Feb 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 43 5 0 05 Dec 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 42 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 46 2 0 20 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 59 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 34 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 24 0 0 26 Jul 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller M. Keuper 30 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 27 52 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 Xia Jiangbin Zheng Xihong Yang Yue Liu Bozhen Hu Stan Z. Li 37 14 0 21 Apr 2023
Blind Estimation of Audio Processing Graph Sungho Lee Jaehyung Park Seungryeol Paik Kyogu Lee 25 9 0 15 Mar 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction Jiaqi Guan Wesley Wei Qian Xingang Peng Yufeng Su Jian-wei Peng Jianzhu Ma DiffM 34 162 0 06 Mar 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 21 0 0 26 Jan 2023
Molecular Graph Generation by Decomposition and Reassembling Masatsugu Yamada M. Sugiyama 24 4 0 11 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 32 42 0 04 Dec 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 27 63 0 28 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 23 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
Projecting Non-Fungible Token (NFT) Collections: A Contextual Generative Approach W. Tann Akhil Vuputuri E. Chang 14 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
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
Generative Graphical Inverse Kinematics Oliver Limoyo Filip Marić Matthew Giamou Petra Alexson Ivan Petrović Jonathan Kelly 40 1 0 19 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 32 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 50 373 0 05 Aug 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 33 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 30 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 30 4 0 08 Jul 2022
Learning Graph Structure from Convolutional Mixtures Max Wasserman Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro GNN CML BDL 37 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 30 48 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 42 67 0 04 Apr 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 22 2 0 25 Mar 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 33 17 0 19 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient Jovita Lukasik Steffen Jung M. Keuper 27 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 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
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks Qi Zhang Chang Liu Stephen Wu Ryo Yoshida BDL 32 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 48 143 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 65 19 0 28 Feb 2022
MGCVAE: Multi-objective Inverse Design via Molecular Graph Conditional Variational Autoencoder Myeong-Sung Lee K. Min 33 41 0 14 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
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology Hiroshi Kajino Kohei Miyaguchi Takayuki Osogami 59 1 0 28 Jan 2022