2 papers
cs.LG2019
Context-Aware Graph Attention Networks
Bo Jiang, Leiling Wang, Jin Tang +1
Graph Neural Networks (GNNs) have been widely studied for graph data representation and learning. However, existing GNNs generally conduct context-aware learning on node feature re…
cs.CV2019
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
Bo Jiang, Leiling Wang, Jin Tang +1
Graph Convolutional Networks (GCNs) have been widely studied for compact data representation and semi-supervised learning tasks. However, existing GCNs usually use a fixed neighbor…