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Prasanna Balaprakash — most-cited papers & profile · Graph Learning
← authors
·
overview
Prasanna Balaprakash
17
papers ·
129
citations ·
32
h-index
Argonne National Laboratory · Oak Ridge National Laboratory · Department of Primary Industries and Regional Development · Public Risk Management Association
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Semantic Scholar ↗
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Most-cited papers
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting
2019
Site-specific graph neural network for predicting protonation energy of oxygenate molecules
2020
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting
2020
Graph Neural Network Architecture Search for Molecular Property Prediction
2020
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks
2020
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting
2022
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting
2022
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search
2023
Self-supervised Learning for Anomaly Detection in Computational Workflows
2023
Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement
2024
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN
2024
Top co-authors
Tanwi Mallick
· 5
and Jane Macfarlane
· 2
Eric Rask
· 2
Hongwei Jin
· 2
Jane Macfarlane
· 2
Shengli Jiang
· 2
Adam Mate
· 1
Aditi S. Krishnapriyan
· 1
Allen Zou
· 1
Anirban Mandal
· 1
Arthur Barnes
· 1
Ashwin M. Aji
· 1
Topics
cs.LG
Uncategorized
q-bio.BM
stat.ML
cs.NI
eess.SP
physics.chem-ph
cs.DC
eess.SY
cs.SY