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02/21/2023
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes
Deep learning provides an excellent avenue for optimizing diagnosis and ...
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09/26/2022
Material Prediction for Design Automation Using Graph Representation Learning
Successful material selection is critical in designing and manufacturing...
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06/13/2022
Evaluating Graph Generative Models with Contrastively Learned Features
A wide range of models have been proposed for Graph Generative Models, n...
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01/24/2022
Learning Graph Augmentations to Learn Graph Representations
Devising augmentations for graph contrastive learning is challenging due...
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01/20/2022
Cross-Domain Few-Shot Graph Classification
We study the problem of few-shot graph classification across domains wit...
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07/09/2020
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing
Deep classifiers tend to associate a few discriminative input variables ...
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06/10/2020
Contrastive Multi-View Representation Learning on Graphs
We introduce a self-supervised approach for learning node and graph leve...
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02/21/2020
Memory-Based Graph Networks
Graph neural networks (GNNs) are a class of deep models that operate on ...
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10/18/2019
Relational Graph Representation Learning for Open-Domain Question Answering
We introduce a relational graph neural network with bi-directional atten...
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10/18/2019
Unsupervised Multi-Task Feature Learning on Point Clouds
We introduce an unsupervised multi-task model to jointly learn point and...
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07/04/2016
Multi-Objective Design of State Feedback Controllers Using Reinforced Quantum-Behaved Particle Swarm Optimization
In this paper, a novel and generic multi-objective design paradigm is pr...
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07/03/2016
