Rethinking Generalization in Knowledge Graph Embedding: An Empirical Study and Sparse Peak Regularization

arXiv:2505.23442 · cs.LG, cs.CL · Submitted 2025-05-29 · Read on arXiv

cs.LG, cs.CL

Submitted: 2025-05-29

Updated: 2026-10-20

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Regularization — 7× in this paper · explained in 3 episodes
• Knowledge Graph — 3× in this paper · explained in 8 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Knowledge Graph Completion (KGC) — 1× in this paper · explained in 2 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 5 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks