Graph Neural Networks: Architectures, Stability and Transferability

4 August 2020

Alejandro Ribeiro

Papers citing "Graph Neural Networks: Architectures, Stability and Transferability"

50 / 62 papers shown

Title
Local Distance-Preserving Node Embeddings and Their Performance on Random Graphs My Le Luana Ruiz Souvik Dhara 29 0 0 11 Apr 2025
Structure-Guided Input Graph for GNNs facing Heterophily Victor M. Tenorio Madeline Navarro Samuel Rey Santiago Segarra Antonio G. Marques GNN 67 0 0 02 Dec 2024
Graph neural networks and non-commuting operators Mauricio Velasco Kaiying O'Hare Bernardo Rychtenberg Soledad Villar GNN 50 1 0 06 Nov 2024
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs Haolin Li Luana Ruiz Luana Ruiz 32 0 0 22 Oct 2024
Improved Image Classification with Manifold Neural Networks Caio F. Deberaldini Netto Zhiyang Wang Luana Ruiz AI4CE 18 0 0 19 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption Samuel Rey Madeline Navarro Victor M. Tenorio Santiago Segarra Antonio G. Marques 18 1 0 13 Sep 2024
Fusion Flow-enhanced Graph Pooling Residual Networks for Unmanned Aerial Vehicles Surveillance in Day and Night Dual Visions A. Noor Kai Li Eduardo Tovar Pei Zhang Bo Wei 24 0 0 17 Jul 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks Sabarish Krishna Moorthy Jithin Jagannath 24 2 0 27 May 2024
Convolutional Learning on Directed Acyclic Graphs Samuel Rey Hamed Ajorlou Gonzalo Mateos CML AI4CE GNN 21 3 0 05 May 2024
Generalization Bounds for Message Passing Networks on Mixture of Graphons Sohir Maskey Gitta Kutyniok Ron Levie 57 5 0 04 Apr 2024
A Deep Learning Method for Optimal Investment Under Relative Performance Criteria Among Heterogeneous Agents Mathieu Laurière Ludovic Tangpi Xuchen Zhou 16 1 0 12 Feb 2024
Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together? Hans Riess M. Veveakis Michael M. Zavlanos 16 2 0 05 Feb 2024
LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control Saurav Agarwal Ramya Muthukrishnan W. Gosrich Vijay R. Kumar Alejandro Ribeiro 49 4 0 10 Jan 2024
Robust Graph Neural Network based on Graph Denoising Victor M. Tenorio Samuel Rey Antonio G. Marques AAML 19 1 0 11 Dec 2023
Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0 Tao Yu Zongdian Li Kei Sakaguchi Omar Hashash Walid Saad Merouane Debbah AI4CE 18 6 0 11 Dec 2023
Fairness-aware Optimal Graph Filter Design O. D. Kose Yanning Shen Gonzalo Mateos FaML 25 4 0 22 Oct 2023
Robust Angular Synchronization via Directed Graph Neural Networks Yixuan He G. Reinert David Wipf Mihai Cucuringu 17 4 0 09 Oct 2023
Asynchronous Perception-Action-Communication with Graph Neural Networks Saurav Agarwal Alejandro Ribeiro Vijay R. Kumar GNN 25 1 0 18 Sep 2023
Speaker Recognition Using Isomorphic Graph Attention Network Based Pooling on Self-Supervised Representation Zirui Ge Xinzhou Xu Haiyan Guo Tingting Wang Zhen Yang SSL 11 1 0 09 Aug 2023
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach Diego Patiño Siddharth Mayya J. Calderon Kostas Daniilidis David Saldaña 16 3 0 07 Jun 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 45 7 0 21 Apr 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 13 5 0 28 Feb 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks Zhan Gao Deniz Gunduz GNN 28 1 0 16 Feb 2023
Unsupervised Learning of Sampling Distributions for Particle Filters Fernando Gama Nicolas Zilberstein Martín Sevilla Richard Baraniuk Santiago Segarra 25 9 0 02 Feb 2023
Convolutional Learning on Simplicial Complexes Maosheng Yang Elvin Isufi 16 19 0 26 Jan 2023
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense Elijah S. Lee Lifeng Zhou Alejandro Ribeiro Vijay R. Kumar AAML GNN 24 13 0 23 Jan 2023
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 24 62 0 16 Nov 2022
Stable and Transferable Hyper-Graph Neural Networks Mikhail Hayhoe Hans Riess V. Preciado Alejandro Ribeiro 38 1 0 11 Nov 2022
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs Luana Ruiz Ningyuan Huang Soledad Villar 19 5 0 06 Nov 2022
Predicting Brain Age using Transferable coVariance Neural Networks Saurabh Sihag Gonzalo Mateos Corey McMillan Alejandro Ribeiro 11 5 0 28 Oct 2022
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks Elijah S. Lee Lifeng Zhou Alejandro Ribeiro Vijay R. Kumar AAML GNN 16 1 0 24 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 18 14 0 24 Sep 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis Mohammad Sabbaqi Elvin Isufi GNN AI4TS 27 13 0 30 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 20 4 0 09 Jun 2022
coVariance Neural Networks Saurabh Sihag Gonzalo Mateos Corey McMillan Alejandro Ribeiro 8 10 0 31 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 73 37 0 30 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 98 0 16 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 19 67 0 16 Apr 2022
Diffusion of Information on Networked Lattices by Gossip Hans Riess Robert Ghrist 11 10 0 01 Apr 2022
Graph Convolutional Neural Networks Sensitivity under Probabilistic Error Model Xinjue Wang Esa Ollila S. Vorobyov AAML 14 1 0 15 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 23 106 0 01 Mar 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 73 53 0 01 Feb 2022
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources Krzysztof Rusek Piotr Boryło P. Jaglarz Fabien Geyer A. Cabellos P. Chołda 16 2 0 28 Jan 2022
Convergence of Invariant Graph Networks Chen Cai Yusu Wang 48 4 0 25 Jan 2022
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection Yuefei Lyu Xiaoyu Yang Jiaxin Liu Philip S. Yu Sihong Xie Xi Zhang AAML 12 9 0 15 Jan 2022
Stability Analysis of Unfolded WMMSE for Power Allocation Arindam Chowdhury Fernando Gama Santiago Segarra 22 3 0 14 Oct 2021
Coverage Control in Multi-Robot Systems via Graph Neural Networks W. Gosrich Siddharth Mayya Rebecca Li James Paulos Mark H. Yim Alejandro Ribeiro Vijay R. Kumar 48 24 0 30 Sep 2021
Transferability of Graph Neural Networks: an Extended Graphon Approach Sohir Maskey Ron Levie Gitta Kutyniok GNN 81 49 0 21 Sep 2021
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 15 99 0 17 Aug 2021
Wide and Deep Graph Neural Network with Distributed Online Learning Zhan Gao Fernando Gama Alejandro Ribeiro GNN 26 26 0 19 Jul 2021