Scaling Inference Throughput of LightGCL, SGL, and GCA on Large-Scale Graphs

This report synthesises findings from 5 peer-reviewed papers addressing the following research question: How does the inference throughput of LightGCL compare to SGL and GCA when scaling to graphs with over 10 million nodes. 7 claims were extracted from source literature; 7 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.7/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the inference throughput of LightGCL compare to SGL and GCA when scaling to graphs with over 10 million nodes?

Autonomous literature synthesis. Automated review score: 8.7/10. Full text and citation available at Assignee Research.