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10/27/2022
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs
Current graph neural networks (GNNs) that tackle node classification on ...
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10/12/2022
Deep Combinatorial Aggregation
Neural networks are known to produce poor uncertainty estimations, and a...
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10/12/2022
What Makes Graph Neural Networks Miscalibrated?
Given the importance of getting calibrated predictions and reliable unce...
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07/27/2021
Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification
Node features and structural information of a graph are both crucial for...
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06/30/2020
Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs
The last decade has witnessed a boom of neural network (NN) research and...
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01/31/2019