Recent years have witnessed the unprecedented achievements of large-scal...
Due to the rising concerns on privacy protection, how to build machine
l...
K-core decomposition is a commonly used metric to analyze graph structur...
Embedding models have been an effective learning paradigm for
high-dimen...
Graph neural networks (GNNs) have recently achieved state-of-the-art
per...