Computer Vision and Pattern Recognition · Computer Science
Constrained Graphic Layout Generation via Latent Optimization
Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi
2021-08-03
Computer Vision and Pattern Recognition · Computer Science
Generative Layout Modeling using Constraint Graphs
Wamiq Para, Paul Guerrero, Tom Kelly, Leonidas Guibas +1
2020-11-30
Machine Learning · Computer Science
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN
Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen
2021-06-30
Human-Computer Interaction · Computer Science
ORC Layout: Adaptive GUI Layout with OR-Constraints
Yue Jiang, Ruofei Du, Christof Lutteroth, Wolfgang Stuerzlinger
2022-02-23
Computer Vision and Pattern Recognition · Computer Science
Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach
Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa +1
2018-11-16
Computer Vision and Pattern Recognition · Computer Science
Constrained Layout Generation with Factor Graphs
Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu +3
2024-04-02
Computation and Language · Computer Science
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
Amit Agarwal, Hitesh Patel, Priyaranjan Pattnayak, Srikant Panda +2
2024-12-06
Computational Geometry · Computer Science
On the reducibility of geometric constraint graphs
Samy Ait-Aoudia, Adel Moussaoui, Khaled Abid, Dominique Michelucci
2018-03-06
Machine Learning · Computer Science
Neural Fields with Hard Constraints of Arbitrary Differential Order
Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu +5
2023-10-31
Artificial Intelligence · Computer Science
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
Daniel Daza, Alberto Bernardi, Luca Costabello, Christophe Gueret +3
2026-05-25
Computational Geometry · Computer Science
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer
2024-02-13
Machine Learning · Computer Science
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein +1
2022-06-20
Machine Learning · Computer Science
Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits
Qi Xu, Lijie Wang, Jing Wang, Lin Cheng +2
2024-05-17
Machine Learning · Computer Science
Deep Constraint-based Propagation in Graph Neural Networks
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
2021-09-02
Computer Vision and Pattern Recognition · Computer Science
Creating Sorted Grid Layouts with Gradient-based Optimization
Kai Uwe Barthel, Florian Tim Barthel, Peter Eisert, Nico Hezel +1
2025-03-05
Human-Computer Interaction · Computer Science
An Overview + Detail Layout for Visualizing Compound Graphs
Chang Han, Justin Lieffers, Clayton Morrison, Katherine E. Isaacs
2024-08-09
Machine Learning · Computer Science
SCGG: A Deep Structure-Conditioned Graph Generative Model
Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
2023-01-11
Networking and Internet Architecture · Computer Science
Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks
Tharaka Perera, Saman Atapattu, Yuting Fang, Prathapasinghe Dharmawansa +1
2023-03-16
Social and Information Networks · Computer Science
DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction
Minfeng Zhu, Wei Chen, Yuanzhe Hu, Yuxuan Hou +2
2020-08-19
Computational Geometry · Computer Science
Force-Directed Graph Drawing Using Social Gravity and Scaling
Michael J. Bannister, David Eppstein, Michael T. Goodrich, Lowell Trott
2012-09-05
Machine Learning · Computer Science
A Lagrangian Approach to Information Propagation in Graph Neural Networks
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini +1
2020-04-20