79 citations · 364 across the 27 of their papers we have counts for
8 papers · 1 filter
Fairness-Aware Graph Neural Networks: A Survey
April Chen, Ryan A. Rossi, Namyong Park +6
Graph Neural Networks (GNNs) have become increasingly important due to their representational power and state-of-the-art predictive performance on many fundamental learning tasks.…
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim +4
We consider dynamic pricing strategies in a streamed longitudinal data set-up where the objective is to maximize, over time, the cumulative profit across a large number of customer…
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim +5
Temporal networks model a variety of important phenomena involving timed interactions between entities. Existing methods for machine learning on temporal networks generally exhibit…
Influence-guided Data Augmentation for Neural Tensor Completion
Sejoon Oh, Sungchul Kim, Ryan A. Rossi +1
How can we predict missing values in multi-dimensional data (or tensors) more accurately? The task of tensor completion is crucial in many applications such as personalized recomme…
Graph Deep Factors for Forecasting
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik +2
Deep probabilistic forecasting techniques have recently been proposed for modeling large collections of time-series. However, these techniques explicitly assume either complete ind…
From Static to Dynamic Node Embeddings
Di Jin, Sungchul Kim, Ryan A. Rossi +1
We introduce a general framework for leveraging graph stream data for temporal prediction-based applications. Our proposed framework includes novel methods for learning an appropri…
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs
Ryan A. Rossi, Anup Rao, Sungchul Kim +3
In this paper, we introduce the notion of motif closure and describe higher-order ranking and link prediction methods based on the notion of closing higher-order network motifs. Th…
Dynamic Node Embeddings from Edge Streams
John Boaz Lee, Giang Nguyen, Ryan A. Rossi +3
Networks evolve continuously over time with the addition, deletion, and changing of links and nodes. Such temporal networks (or edge streams) consist of a sequence of timestamped e…