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Sequence and time-series learning focuses on data with temporal order.

This includes forecasting, sequence modeling, temporal representation learning, and models that must account for dependence across time steps rather than treating observations as independent.

Typical examples include AR-type models, recurrent networks, temporal convolutional networks, transformers, and state-space models.

Representation Learning
Representation learning
Graph Learning
Graph learning