59 citations · 131 across the 35 of their papers we have counts for
5 papers · 1 filter
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
Ryan Aponte, Ryan A. Rossi, Shunan Guo +6
In this work, we introduce a hypergraph representation learning framework called Hypergraph Neural Networks (HNN) that jointly learns hyperedge embeddings along with a set of hyper…
Graph Learning with Localized Neighborhood Fairness
April Chen, Ryan Rossi, Nedim Lipka +6
Learning fair graph representations for downstream applications is becoming increasingly important, but existing work has mostly focused on improving fairness at the global level b…
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…
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…
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,…