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08/08/2023
Probabilistic Invariant Learning with Randomized Linear Classifiers
Designing models that are both expressive and preserve known invariances...
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02/02/2023
Causal Lifting and Link Prediction
Current state-of-the-art causal models for link prediction assume an und...
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10/01/2021
Reconstruction for Powerful Graph Representations
Graph neural networks (GNNs) have limited expressive power, failing to r...
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10/08/2020
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models
Existing Graph Neural Network (GNN) methods that learn inductive unsuper...
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09/14/2018