[PDF] Simple and Deep Graph Convolutional Networks - ICML Proceedings
problem (Kipf Welling, 2017); deep GCN models are still outperformed by three variants of Geom GCN (Pei et al, 2020) as they are the state of the art
[PDF] Competitive Analysis for Points of Interest - Jingbo Zhou
Aug 23, 2020 · Geom GCN is based on a geometric aggre gation scheme for graph neural networks Here we build the model on the co query POI graph, and
[PDF] Toward Unsupervised Graph Neural Network - Liang Yangs
Geom GCN [8] Most GNNs are deliberately designed for (transductive and inductive) semi supervised learning tasks, where supervision information ( labelled
[PDF] 2019 Fall: Graph Neural Networks - WordPresscom
Geom GCN ICLR 20 submission Motivation losing structural info of nodes in neighbors; weak to capture long range dependencies in disassortative graphs
[PDF] Fisher-Bures Adversary Graph Convolutional Networks
paper improves GCN generalization by minimizing the ∗Corresponding feature matrix obtained by stacking multiple GCN layers While the intrinsic geom
[PDF] Download PDF - Proceedings of Machine Learning Research
We propose ConfGCN, a Graph Convolutional Network (GCN) framework for semi supervised learning which models label distribution and their confidences for
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