REGE: A Method for Incorporating Uncertainty in Graph Embeddings

arXiv:2412.05735 · cs.LG · Submitted 2024-12-07 · Read on arXiv

cs.LG

Submitted: 2024-12-07

Updated: 2024-12-07

Terminology

• Embeddings — 4× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Curriculum Learning — 1× in this paper · explained in 2 episodes
• Radius Enhanced Graph Embeddings — 1× in this paper

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