Tag: graph representation learning
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Hierarchical Geometry-Aware Graphs for Text-to-CAD Code
Discover how hierarchical, geometry-aware graphs improve text-to-CAD code generation by enhancing geometric fidelity and constraint satisfaction.
Causal Inference in Graph Representation Learning Explained
Explore how causal inference enhances graph representation learning by addressing aggregation challenges and improving model validity.
Spectral Geometry for Cross-Modal Multimodal Alignment
Explore spectral geometry and functional map diagnostics to enhance cross-modal alignment between vision and language AI models.
Soft Silhouette Loss for Enhanced Deep Representation Learning
Boost deep learning accuracy with Soft Silhouette Loss, a differentiable method improving global structure and class separation in embeddings.
EB-JEPA: Lightweight Energy-Based Joint-Embedding Library
Discover EB-JEPA, a lightweight library for energy-based joint-embedding predictive architectures enabling efficient self-supervised learning and video mod...