Tensor Graph Convolutional Networks for Multi-relational and Robust Learning

15 March 2020

Papers citing "Tensor Graph Convolutional Networks for Multi-relational and Robust Learning"

8 / 8 papers shown

Title
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Siyi Sun David Selby Yunchuan Huang Sebastian Vollmer Seth Flaxman Anisoara Calinescu 32 0 0 10 Jun 2025
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data Óscar Escudero-Arnanz C. Soguero-Ruíz Antonio G. Marques AI4TS 63 0 0 01 Nov 2024
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding Marco Bongiovanni Luca Gallo Roberto Grasso Alfredo Pulvirenti GNN 54 0 0 28 Mar 2024
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 91 59 0 31 Jan 2023
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai Vasileios Ioannidis Soji Adeshina Zak Jost Christos Faloutsos George Karypis UQCV 53 1 0 09 Jun 2022
Multiplex Graph Networks for Multimodal Brain Network Analysis Zhaoming Kong Lichao Sun Hao Peng Liang Zhan Yong Chen Lifang He 64 6 0 31 Jul 2021
A Review of Graph Neural Networks and Their Applications in Power Systems Wenlong Liao B. Bak‐Jensen J. Pillai Yuelong Wang Yusen Wang GNN AI4CE 113 226 0 25 Jan 2021
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 139 285 0 26 Dec 2018