Unified framework for graph neural networks using EdgeNet.
problem Leveraging neural networks on graphs for structured data.
method Introducing EdgeNet architecture that allows different nodes to use different parameters for neighbor information.
result Unified formulation of GCNNs and GATs, highlighting their similarities and differences.