FlowGN tackles graph representation learning by tracing information flow paths.
problem GCNs struggle with over-smoothing and scalability issues.
method FlowGN introduces a 'SourceSink' mode and 'information flow path' concept.
result FlowGN outperforms state-of-the-art GCNs in public datasets.