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Graph Embedding
Graphs are essential tools to capture and model complicated relationships among data. In a variety of graph applications, including protein-protein interaction networks, social... -
Adversarially Regularized Graph Autoencoder for Graph Embedding
Graph embedding is an effective method to represent graph data in a low dimensional space for graph analytics. Most existing embedding algorithms typically focus on preserving... -
Graph-Structured Data Dataset
This dataset contains graph-structured data and its corresponding features.