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08/18/2023
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing
Point-cloud-based 3D perception has attracted great attention in various...
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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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03/15/2023
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction
Efficient multi-robot task allocation (MRTA) is fundamental to various t...
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11/18/2022
Learning on Health Fairness and Environmental Justice via Interactive Visualization
This paper introduces an interactive visualization interface with a mach...
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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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11/07/2022
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
In computer-aided drug discovery (CADD), virtual screening (VS) is used ...
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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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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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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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02/24/2019
