Pre-training Graph Neural Networks
Hu et al.: https://arxiv.org/abs/1905.12265
#GraphNeuralNetworks #MachineLearning
Hu et al.: https://arxiv.org/abs/1905.12265
#GraphNeuralNetworks #MachineLearning
arXiv.org
Strategies for Pre-training Graph Neural Networks
Many applications of machine learning require a model to make accurate pre-dictions on test examples that are distributionally different from training ones, while task-specific labels are scarce...
Active Learning for Graph Neural Networks via Node Feature Propagation
Wu et al.: https://arxiv.org/abs/1910.07567
#ArtificialIntelligence #GraphNeuralNetworks #MachineLearning
Wu et al.: https://arxiv.org/abs/1910.07567
#ArtificialIntelligence #GraphNeuralNetworks #MachineLearning
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case
Almasan et al.: https://arxiv.org/abs/1910.07421
#DeepLearning #ReinforcementLearning #GraphNeuralNetworks
Almasan et al.: https://arxiv.org/abs/1910.07421
#DeepLearning #ReinforcementLearning #GraphNeuralNetworks
arXiv.org
Deep Reinforcement Learning meets Graph Neural Networks: exploring...
Deep Reinforcement Learning (DRL) has shown a dramatic improvement in decision-making and automated control problems. Consequently, DRL represents a promising technique to efficiently solve many...
Machine Learning on Graphs #NeurIPS2019
Michael Galkin : https://medium.com/@mgalkin/machine-learning-on-graphs-neurips-2019-875eecd41069
#GraphNeuralNetworks #NLP
Michael Galkin : https://medium.com/@mgalkin/machine-learning-on-graphs-neurips-2019-875eecd41069
#GraphNeuralNetworks #NLP
Medium
Machine Learning on Graphs @ NeurIPS 2019
If you still had any doubts — it’s time to admit. Machine Learning on Graphs becomes a first-class citizen at AI conferences while being…