Search Results for author:
Found 2 papers, 1 papers with code
A Large-Scale Database for Graph Representation Learning
With the rapid emergence of graph representation learning, the construction of new large-scale datasets is necessary to distinguish model capabilities and accurately assess the strengths and weaknesses of each technique.
Anomaly Detection in Large Scale Networks with Latent Space Models
We develop a real-time anomaly detection algorithm for directed activity on large, sparse networks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
