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03/25/2023
Topological Pooling on Graphs
Graph neural networks (GNNs) have demonstrated a significant success in ...
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03/20/2023
Seven open problems in applied combinatorics
We present and discuss seven different open problems in applied combinat...
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11/24/2022
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT
Topological data analysis (TDA) delivers invaluable and complementary in...
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11/14/2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets
Nowadays, it is broadly recognized in the power system community that to...
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12/13/2021
BScNets: Block Simplicial Complex Neural Networks
Simplicial neural networks (SNN) have recently emerged as the newest dir...
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10/29/2021
Topological Relational Learning on Graphs
Graph neural networks (GNNs) have emerged as a powerful tool for graph c...
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10/21/2021
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity
As multiple adverse events in 2021 illustrated, virtually all aspects of...
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06/03/2021
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks
Motivated by the recent surge of criminal activities with cross-cryptocu...
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05/10/2021
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
There recently has been a surge of interest in developing a new class of...
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04/10/2021
Smart Vectorizations for Single and Multiparameter Persistence
The machinery of topological data analysis becomes increasingly popular ...
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03/15/2021
Modeling Weather-induced Home Insurance Risks with Support Vector Machine Regression
Insurance industry is one of the most vulnerable sectors to climate chan...
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03/15/2021
Blockchain Networks: Data Structures of Bitcoin, Monero, Zcash, Ethereum, Ripple and Iota
Blockchain is an emerging technology that has already enabled a wide ran...
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09/24/2020
Ensemble Forecasting of the Zika Space-TimeSpread with Topological Data Analysis
As per the records of theWorld Health Organization, the first formally r...
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09/04/2020
LFGCN: Levitating over Graphs with Levy Flights
Due to high utility in many applications, from social networks to blockc...
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07/07/2020
Defending Against Backdoors in Federated Learning with Robust Learning Rate
Federated Learning (FL) allows a set of agents to collaboratively train ...
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12/20/2019
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph
Blockchain technology and, in particular, blockchain-based cryptocurrenc...
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10/28/2019
Harnessing the power of Topological Data Analysis to detect change points in time series
We introduce a novel geometry-oriented methodology, based on the emergin...
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08/18/2019
ChainNet: Learning on Blockchain Graphs with Topological Features
With emergence of blockchain technologies and the associated cryptocurre...
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06/19/2019
BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain
Proliferation of cryptocurrencies (e.g., Bitcoin) that allow pseudo-anon...
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04/08/2019
CRAD: Clustering with Robust Autocuts and Depth
We develop a new density-based clustering algorithm named CRAD which is ...
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02/24/2019
