Abstract: Highlights•Model e-commerce spam review camouflage with different metapaths.•Construct a heterogeneous Spam-Graph and three subgraphs with specific metapaths.•Improve review representation using semantic, syntactic, and behavioral information.•Capture different camouflages by subgraph representation and node aggregation.•Detect spam reviews simultaneously through subgraph aggregation and classification.