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08/14/2023
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls
Hierarchical and tree-like data sets arise in many applications, includi...
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07/12/2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Graph learning methods, such as Graph Neural Networks (GNNs) based on gr...
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05/31/2023
Representer Point Selection for Explaining Regularized High-dimensional Models
We introduce a novel class of sample-based explanations we term high-dim...
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05/21/2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
The eXtreme Multi-label Classification (XMC) problem seeks to find relev...
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11/06/2022
Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime
As the demand for user privacy grows, controlled data removal (machine u...
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06/18/2022
Certified Graph Unlearning
Graph-structured data is ubiquitous in practice and often processed usin...
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05/19/2022
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering
The problem of fitting distances by tree-metrics has received significan...
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03/07/2022
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces
Many high-dimensional practical data sets have hierarchical structures i...
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10/29/2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Learning on graphs has attracted significant attention in the learning c...
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09/08/2021
Highly Scalable and Provably Accurate Classification in Poincare Balls
Many high-dimensional and large-volume data sets of practical relevance ...
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06/24/2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Hypergraphs are used to model higher-order interactions amongst agents a...
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02/19/2021
Linear Classifiers in Mixed Constant Curvature Spaces
Embedding methods for mixed-curvature spaces are powerful techniques for...
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06/14/2020
Support Estimation with Sampling Artifacts and Errors
The problem of estimating the support of a distribution is of great impo...
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06/14/2020
Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs
In many important applications, the acquired graph-structured data inclu...
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11/08/2019
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction
Generative graph models create instances of graphs that mimic the proper...
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10/20/2019
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs
We describe the first known mean-field study of landing probabilities fo...
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05/26/2019