Graph Convolutional Network

DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions

Knowledge-aware Global Reasoning for Situation Recognition

LC-NAS: Latency constrained neural architecture search for point cloud networks

Robust Optimization as Data Augmentation for Large-scale Graphs

Training Graph Neural Networks with 1000 layers

DeepGCNs: Making GCNs Go as Deep as CNNs

PU-GCN: Point Cloud Upsampling via Graph Convolutional Network

SGAS: Sequential Greedy Architecture Search

DeepGCNs: Can GCNs Go as Deep as CNNs?