Open World Learning Graph Convolution for Latency Estimation in Routing
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Open World Learning Graph Convolution for Latency Estimation in Routing Networks

8 July 2022

Sarunas Girdzijauskas

Aristides Gionis

Papers citing "Open World Learning Graph Convolution for Latency Estimation in Routing Networks"

8 / 8 papers shown

Title
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 81 239 0 14 Jun 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 69 53 0 27 Jan 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 186 97 0 10 Jan 2021
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 204 134 0 17 Oct 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 101 311 0 24 Sep 2020
Directed Graph Convolutional Network Zekun Tong Yuxuan Liang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 89 116 0 29 Apr 2020
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN Maik Ender Pawel Swierczynski Paul Almasan Paul Martin Knopp A. Cabellos-Aparicio GNN 40 245 0 03 Oct 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 101 1,334 0 25 Jul 2019