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Bernard Ghanem

Robust Optimization as Data Augmentation for Large-scale Graphs
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Training Graph Neural Networks with 1000 layers
DeepGCNs: Making GCNs Go as Deep as CNNs
PU-GCN: Point Cloud Upsampling via Graph Convolutional Network
DeeperGCN: All You Need to Train Deeper GCNs
SGAS: Sequential Greedy Architecture Search
DeepGCNs: Can GCNs Go as Deep as CNNs?
OIL: Observational Imitation Learning