Price graphs: Utilizing the structural information of financial time
series for stock prediction

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Price graphs: Utilizing the structural information of financial time series for stock prediction

4 June 2021

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Papers citing "Price graphs: Utilizing the structural information of financial time series for stock prediction"

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Title
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 324 1,123 0 13 Feb 2020
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks Jingyuan Wang Yang Zhang Ke Tang Junjie Wu Zhang Xiong AIFin 45 120 0 24 Jul 2019
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 339 2,702 0 12 Sep 2018
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 102 622 0 04 Dec 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 786 132,363 0 12 Jun 2017
struc2vec: Learning Node Representations from Structural Identity Leonardo F. R. Ribeiro Pedro H. P. Saverese Daniel R. Figueiredo 77 1,164 0 11 Apr 2017
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang G. Cottrell AI4TS 183 1,237 0 07 Apr 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,906 0 03 Jul 2016
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 578 27,327 0 01 Sep 2014
On Fast Dropout and its Applicability to Recurrent Networks Justin Bayer Christian Osendorfer Daniela Korhammer Nutan Chen Sebastian Urban Patrick van der Smagt ODL 86 64 0 04 Nov 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 686 31,544 0 16 Jan 2013

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