activity
20162025
most citedAttention Models in Graphs: A Survey

59 citations · 261 across the 24 of their papers we have counts for

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Showing cs.SIShow all

7 papers · 1 filter

cs.SI2022★ 39 cited

CGC: Contrastive Graph Clustering for Community Detection and Tracking

Namyong Park, Ryan Rossi, Eunyee Koh +5

Given entities and their interactions in the web data, which may have occurred at different time, how can we find communities of entities and track their evolution? In this paper,…

cs.SI2020

Heterogeneous Graphlets

Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza +4

In this paper, we introduce a generalization of graphlets to heterogeneous networks called typed graphlets. Informally, typed graphlets are small typed induced subgraphs. Typed gra…

cs.SI2019★ 2 cited

Linear-time Hierarchical Community Detection

Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh +1

Community detection in graphs has many important and fundamental applications including in distributed systems, compression, image segmentation, divide-and-conquer graph algorithms…

cs.SI2019★ 9 cited

Heterogeneous Network Motifs

Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza +4

Many real-world applications give rise to large heterogeneous networks where nodes and edges can be of any arbitrary type (e.g., user, web page, location). Special cases of such he…

cs.SI2018★ 5 cited

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…

cs.SI2018★ 27 cited

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…

cs.SI2018★ 26 cited

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…