Before revision:  However it is well known that an individual stock price is correlated with prices of other stocks . To address that , we propose a deep learning-based framework, which utilizes recurrent neural network (RNN) and graph convolutional network (GCN)  to predict stock movement.
After revision:  However it is well known that an individual stock price is correlated with prices of other stocks in complex ways. To take the cross effect into consideration , we propose a deep learning-based framework, which utilizes recurrent neural network (RNN) and graph convolutional network (GCN) to predict stock movement.