Representable but Unlearned: Encoding Rank and the Interaction-Prediction Floor
cs.LG, cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/shadi97kh/REPRESENTABLE-BUT-UNLEARNED
Project page: https://icml-compbio.github.io/2021/papers/WCBICML2021_
Sources
- Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
- GNN Explanations that do not Explain and How to find Them
- Layer Normalization
- Relational inductive biases, deep learning, and graph networks
- True to the Model or True to the Data?
- Inductive Representation Learning on Large Graphs
- Convolutional Neural Networks for Sentence Classification
- Adam: A Method for Stochastic Optimization
- Semi-Supervised Classification with Graph Convolutional Networks
- When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic
- Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
- Decoupled Weight Decay Regularization
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Modeling Relational Data with Graph Convolutional Networks
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
- Neural Causal Models for Counterfactual Identification and Estimation
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