A dual-graph GCN with gating fusion recommends internal talent from enterprise email structure and subject-line semantics, achieving 40.9% Hit@100 on one company dataset, with learned per-job-family fusion weights.
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Multi-View Graph Convolution Network for Internal Talent Recommendation Based on Enterprise Emails
A dual-graph GCN with gating fusion recommends internal talent from enterprise email structure and subject-line semantics, achieving 40.9% Hit@100 on one company dataset, with learned per-job-family fusion weights.