Residual Network and Embedding Usage: New Tricks of Node Classification
with Graph Convolutional Networks

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Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks

18 May 2021

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Papers citing "Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks"

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Title
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Michael Färber David Lamprecht Yuni Susanti 126 0 0 10 Jun 2025
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation LearningApplied Energy (Appl. Energy), 2022 Siyi Li Mingrui Zhang M. Piggott 187 42 0 24 Nov 2022
Scalable deeper graph neural networks for high-performance materials property prediction Sadman Sadeed Omee Steph-Yves M. Louis Nihang Fu Lai Wei Sourin Dey Rongzhi Dong Qinyang Li Jianjun Hu 197 91 0 25 Sep 2021
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 514 482 0 13 Jun 2020