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🌐 Entity

Graph neural network

Class of artificial neural networks

📊 Rating

12 news mentions · 👍 0 likes · 👎 0 dislikes

📌 Topics

  • Machine Learning (4)
  • Graph Neural Networks (2)
  • Multimodal Systems (2)
  • Neuroimaging (1)
  • Wireless Technology (1)
  • AI Applications (1)
  • Computational Complexity (1)
  • Cybersecurity (1)
  • Formal Verification (1)
  • Machine Learning Innovation (1)
  • Network Analysis (1)
  • Computational Efficiency (1)

🏷️ Keywords

Graph Neural Networks (9) · LUMINA (1) · Laplacian (1) · Graph Convolutional Network (1) · Neurodevelopment (1) · Interpretability (1) · Brain Connectivity (1) · Computational Analysis (1) · spectrum management (1) · demand estimation (1) · wireless communication (1) · AI (1) · network optimization (1) · frequency allocation (1) · SAT solving (1) · geometric perspective (1) · learning difficulties (1) · neural solvers (1) · backdoor attack (1) · clean-label (1)

📖 Key Information

Graph neural networks (GNN) are specialized artificial neural networks that are designed for tasks whose inputs are graphs. One prominent example is molecular drug design. Each input sample is a graph representation of a molecule, where atoms form the nodes and chemical bonds between atoms form the edges.

📰 Related News (12)

🔗 Entity Intersection Graph

Artificial intelligence(2)GNN(1)Mixture of experts(1)Development of the nervous system in humans(1)LUMINA(1)Interpretability(1)Laplace operator(1)SAT solver(1)Network analysis(1)Echo (disambiguation)(1)Graph neural network

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