Graph Attention Network

A Graph Attention Network does not assume that all neighbors are equally important; instead, it learns which ones matter more. This makes information flow over the graph more selective and context-sensitive. It can be especially advantageous in problems with heterogeneous neighborhood structure. It is a strong example of how the attention idea can be adapted to graph domains.