activity
20122023
most citedInductive Representation Learning in Large Attributed Graphs

21 citations · 197 across the 41 of their papers we have counts for

collaborators

55 papers

cs.LG2023

A Model-free Closeness-of-influence Test for Features in Supervised Learning

Mohammad Mehrabi, Ryan A. Rossi

Understanding the effect of a feature vector on the response value (label) is the cornerstone of many statistical learning problems. Ideally…

cs.SI2022

Network Report: A Structured Description for Network Datasets

Xinyi Zheng, Ryan A. Rossi, Nesreen Ahmed +1

The rapid development of network science and technologies depends on shareable datasets. Currently, there is no standard practice for reporting and sharing network datasets. Some n…

cs.LG2022★ 1 cited

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning

Namyong Park, Ryan Rossi, Nesreen Ahmed +1

Given a graph learning task, such as link prediction, on a new graph, how can we select the best method as well as its hyperparameters (collectively called a model) without having…

cs.LG2021★ 1 cited

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings

Sudhanshu Chanpuriya, Ryan A. Rossi, Anup Rao +4

Many models for undirected graphs are based on factorizing the graph's adjacency matrix; these models find a vector representation of each node such that the predicted probability…

cs.HC2021★ 1 cited

An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization

Hyeok Kim, Ryan Rossi, Abhraneel Sarma +2

Authors often transform a large screen visualization for smaller displays through rescaling, aggregation and other techniques when creating visualizations for both desktop and mobi…

cs.DS2021

Optimal Space and Time for Streaming Pattern Matching

Tung Mai, Anup Rao, Ryan A. Rossi +1

In this work, we study longest common substring, pattern matching, and wildcard pattern matching in the asymmetric streaming model. In this streaming model, we have random access t…