Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning

ArXi:2603.19888v1 Announce Type: cross The vast collection of machine learning records available on the web presents a significant opportunity for meta-learning, where past experiments are leveraged to improve performance. Two crucial meta-learning tasks are pipeline performance estimation (PPE), which predicts pipeline performance on target datasets, and dataset performance-based similarity estimation (DPSE), which identifies datasets with similar performance patterns.