59 citations · 261 across the 24 of their papers we have counts for
5 papers · 1 filter
Latent Network Summarization: Bridging Network Embedding and Summarization
Di Jin, Ryan Rossi, Danai Koutra +3
Motivated by the computational and storage challenges that dense embeddings pose, we introduce the problem of latent network summarization that aims to learn a compact, latent repr…
Higher-order Spectral Clustering for Heterogeneous Graphs
Aldo G. Carranza, Ryan A. Rossi, Anup Rao +1
Higher-order connectivity patterns such as small induced sub-graphs called graphlets (network motifs) are vital to understand the important components (modules/functional units) go…
Higher-order Graph Convolutional Networks
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong +3
Following the success of deep convolutional networks in various vision and speech related tasks, researchers have started investigating generalizations of the well-known technique…
Attention Models in Graphs: A Survey
John Boaz Lee, Ryan A. Rossi, Sungchul Kim +2
Graph-structured data arise naturally in many different application domains. By representing data as graphs, we can capture entities (i.e., nodes) as well as their relationships (i…
HONE: Higher-Order Network Embeddings
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh +3
This paper describes a general framework for learning Higher-Order Network Embeddings (HONE) from graph data based on network motifs. The HONE framework is highly expressive and fl…