Tag: Causal Graph Neural Networks
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Optimizing GNN Architectures for Entity Resolution in MDM
Discover a hierarchy of GNN expressivity for efficient entity resolution in master data management, optimizing model complexity and performance.
Dual-branch Graph Domain Adaptation for Emotion Recognition
Improve cross-scenario multimodal emotion recognition with dual-branch graph domain adaptation, enhancing accuracy across varied conversational contexts.
L0-Gated Cross-Modality Learning for Efficient AI
Discover L0-Gated Cross-Modality Learning for reliable, efficient prediction across graphs, language, and tabular data with improved sparsity and calibrati...
Efficient 3D Scene Graphs for Task-Driven Robot Planning
Explore how 3D scene graphs and graph neural networks improve task-driven robot perception and planning for efficient autonomous systems.
GAAMA: Advanced Graph Memory for Multi-Session AI Agents
Discover GAAMA, a graph-augmented memory system improving AI agents' multi-session memory with hierarchical knowledge graphs and enhanced retrieval.