A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
[VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
SubG is a C/OpenMP-based library for accelerating subgraph operations in Python.
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