Graph neural networkGraph node embeddingGraph super-resolutionSpectral upsamplingBrain image analysis has advanced substantially in recent years with the proliferation of neuroimaging datasets acquired at different resolutions. While research on brain image super-resolution has undergone a rapid development in ...
Graph Wavelet Neural Network Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng ICLR 2019 Supervised Community Detection with Line Graph Neural Networks Zhengdao Chen, Xiang Li, Joan Bruna ICLR 2019 Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera, ...
In this study we use the DCRNN model19architecture to explore the spatio-temporal relationships of brain dynamics in resting state fMRI. An overview of the model structure is provided in Fig.1. To learn the temporal dependencies of the BOLD signal, recurrent neural networks (RNNs) with sequence...
Reasoning is a very important research topic for high-level artificial intelligence and the reasoning process in human brain is almost based on the graph which is extracted from daily experience. The standard neural networks have shown the ability to generate synthetic images and documents by learning...
Few-Shot Learning with Graph Neural Networks Victor Garcia, Joan Bruna ICLR 2018 Neural Relational Inference for Interacting Systems Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard Zemel ICML 2018 Brain Signal Classification via Learning Connectivity Structure ...
Graph neural networkBrain network learningHuman cognitive control involves how mental resources are allocated when the brain processes various information. The study of such complex brain functionality is essential in understanding different neurological disorders. To investigate cognition control, various ...
(GGNN) have demonstrated ground-breaking performance on many tasks mentioned above. In this survey, we provide a detailed review over existing graph neural network models, systematically categorize the applications, and propose four open problems for future research.大量的学习任务需要处理包含丰富元素间...
A Graph Neural Network with Multi-head Attention for Universal Brain Disease Diagnosis from fMRI Images Developing an almighty model for brain disease diagnosis is challenging due to the biological brain changes that should be detected in the brain across a w... HJ Moon,TH Kang,SB Cho - Intern...
通用框架信息传播MPNN《Neural message passing for quantum chemistry》https://github.com/brain-research/mpnn 通用框架非局部神经网络NLNN《 Non-local neuralnetworks》https://github.com/nnUyi/Non-Local_Nets-Tensorflow/https://github.com/search?q=Non-local+neural+networks ...
比如提取特征进行分析。具体例子可以是，事件在社交网络上的传播，脑信号在 Brain connectivity network上...