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Graph Neural Networks as Gradient Flows

Dynamical systems minimizing an energy are ubiquitous in geometry and ph...

Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries

Subgraph GNNs are a recent class of expressive Graph Neural Networks (GN...

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

Knowledge tracing (KT) is the task of using students' historical learnin...

OpenXAI: Towards a Transparent Evaluation of Model Explanations

While several types of post hoc explanation methods (e.g., feature attri...

Evolutionary Time-Use Optimization for Improving Children's Health Outcomes

How someone allocates their time is important to their health and well-b...