2 papers
cs.LG2024
Scalable Deep Metric Learning on Attributed Graphs
Xiang Li, Gagan Agrawal, Ruoming Jin +1
We consider the problem of constructing embeddings of large attributed graphs and supporting multiple downstream learning tasks. We develop a graph embedding method, which is based…
cs.LG2024
Federated Contrastive Learning of Graph-Level Representations
Xiang Li, Gagan Agrawal, Rajiv Ramnath +1
Graph-level representations (and clustering/classification based on these representations) are required in a variety of applications. Examples include identifying malicious network…