DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions

Graph Neural Networks (GNNs) have been drawing significant attention to representation learning on graphs. Recent works developed frameworks to train very deep GNNs and showed impressive results in tasks like point cloud learning and protein interaction prediction. In this work, we study the perform...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2023-11, Vol.45 (11), p.1-12
Hauptverfasser:	Li, Guohao, Xiong, Chenxin, Qian, Guocheng, Thabet, Ali, Ghanem, Bernard
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmark testing Benchmarks Convolution Geometric Deep Learning Graph Machine Learning Graph Neural Network Graph neural networks Graphical representations Graphs Machine learning Message passing Non-euclidean Data Permutations Point cloud compression Representation learning Task analysis Training
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