A federated graph learning method to realize multi-party collaboration for molecular discovery
LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).Article Google Scholar Abramson, J. et al. Accurate...
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Topology-aware Machine Learning Enables Better Graph Classification With 0.4 Gain
The challenge of accurately classifying complex networks drives innovation in topological data analysis, and researchers are now exploring how to...
Enhanced exploration in reinforcement learning using graph neural network based intrinsic reward mechanism
The proposed GNN-IRL exploration approach was implemented using the DQN algorithm to learn and generate a policy for action selection....
Enhanced multi objective graph learning approach for optimizing traffic speed prediction on spatial and temporal features
Experimental setupThe system specifications for this experiment include a hardware configuration of Intel Core i7-9700 K or AMD Ryzen 9 5900X...
DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data
DeepASD overviewDeepASD receives \(N\) patients data and each patient is associated with \(K\) modalities. Let \(\bfX=\\bfx_i\_i=1^N\) denotes the raw multimodal...
