Tag: Causal Graph Neural Networks
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Universal Foundation Model for Graph-Structured Data
Discover a universal foundation model enabling transferable graph representations for biomedical and network science applications with superior generalizat...
BiScale-GTR: Multi-Scale Graph Transformers for Molecules
Discover BiScale-GTR, a fragment-aware graph transformer enhancing multi-scale molecular representation learning for improved property prediction.
Privacy-Preserving Graph Learning for Metal 3D Printing
Discover FI-LDP-HGAT, a novel privacy method enhancing graph learning utility in metal additive manufacturing defect detection.
Thermodynamic GeoAI Reveals Regime Shifts in Spatial Systems
Discover how thermodynamic-inspired GeoAI uncovers regime-dependent mechanisms in heterogeneous spatial systems for better environmental and social insight...
Efficient Causal Graph Discovery with Large Language Models
Discover causal graphs efficiently using LLMs and BFS, reducing queries and improving accuracy with observational data integration.