A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

End-to-end pipeline for PPIFlow

Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)

[ICLR'26] Towards All-Atom Foundation Models for Biomolecular Binding Affinity Prediction

[SIGIR'2026] TAR: Generative Auto-Bidding and Budget Pacing via Multi-Scale Trajectory Modeling