Fetching the paper…
Reading the bibliography…
Many researchers both in academia and industry have long been interested in the stock market.
Lee, J., Lee, I., Kang, J., 2019 · 1904
Earlier work this paper cites.
Short-sellers, fundamental analysis, and stock returns
Dechow, P.M., Hutton, A.P., Meulbroek, L., Sloan, R.G., 2001 · 2001
Earlier work this paper cites.
Computational learning techniques for intraday fx trading using popular technical indicators
Dempster, M.A., Payne, T.W., Romahi, Y., Thompson, G.W., 2001 · 2001
Earlier work this paper cites.
The efficient market hypothesis and its critics
Malkiel, B.G., 2003 · 2003
Earlier work this paper cites.
Twitter mood predicts the stock market
Bollen, J., Mao, H., Zeng, X., 2011 · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks, in: Advances in neural information processing systems, pp. 1097–1105
Krizhevsky, A., Sutskever, I., Hinton, G.E., 2012 · 2012
Earlier work this paper cites.
State-of-the-art in stock prediction techniques
Agrawal, J., Chourasia, V., Mittra, A., 2013 · 2013
Earlier work this paper cites.
Comparison of arima and artificial neural networks models for stock price prediction
Adebiyi, A.A., Adewumi, A.O., Ayo, C.K., 2014 · 2014
Earlier work this paper cites.
Stock return predictability and variance risk premia: statistical inference and international evidence
Bollerslev, T., Marrone, J., Xu, L., Zhou, H., 2014 · 2014
Earlier work this paper cites.
News impact on stock price return via sentiment analysis
Li, X., Xie, H., Chen, L., Wang, J., Deng, X., 2014 · 2014
Cited alongside, same era.
Wikidata: a free collaborative knowledge base
Vrandečić, D., Krötzsch, M., 2014 · 2014
Cited alongside, same era.
Deep learning for event-driven stock prediction, in: Twenty-Fourth International Joint Conference on Artificial Intelligence
Ding, X., Zhang, Y., Liu, T., Duan, J., 2015 · 2015
Cited alongside, same era.
Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques
Patel, J., Shah, S., Thakkar, P., Kotecha, K., 2015 · 2015
Cited alongside, same era.
Stock return forecasting: some new evidence
Phan, D.H.B., Sharma, S.S., Narayan, P.K., 2015 · 2015
Cited alongside, same era.
Recurrent neural network and a hybrid model for prediction of stock returns
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
Bao, W., Yue, J., Rao, Y., 2017 · 2017
Later among the works it cites.
metapath2vec: Scalable representation learning for heterogeneous networks, in: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining, ACM. pp. 135–144
Dong, Y., Chawla, N.V., Swami, A., 2017 · 2017
Later among the works it cites.
Neural message passing for quantum chemistry, in: Proceedings of the 34th International Conference on Machine Learning-Volume 70, JMLR. org. pp. 1263–1272
Gilmer, J., Schoenholz, S.S., Riley, P.F., Vinyals, O., Dahl, G.E., 2017 · 2017
Later among the works it cites.
Inductive representation learning on large graphs, in: Advances in Neural Information Processing Systems, pp. 1024–1034
Hamilton, W., Ying, Z., Leskovec, J., 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rather, A.M., Agarwal, A., Sastry, V., 2015 · 2015
Cited alongside, same era.
Knowledge-driven event embedding for stock prediction, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp. 2133–2142
Ding, X., Zhang, Y., Liu, T., Duan, J., 2016 · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Kipf, T.N., Welling, M., 2016 · 2016
Cited alongside, same era.
FastGCN: Fast learning with graph convolutional networks via importance sampling, in: International Conference on Learning Representations
Chen, J., Ma, T., Xiao, C., 2018a
Cited in the paper.
Incorporating corporation relationship via graph convolutional neural networks for stock price prediction, in: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, ACM. pp. 1655–1658
Chen, Y., Wei, Z., Huang, X., 2018b
Cited in the paper.
Graph convolutional neural networks for web-scale recommender systems, in: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 974–983
Ying, R., He, R., Chen, K., Eksombatchai, P., Hamilton, W.L., Leskovec, J., 2018a
Cited in the paper.
Hierarchical graph representation learning with differentiable pooling, in: Advances in Neural Information Processing Systems, pp. 4800–4810
Ying, Z., You, J., Morris, C., Ren, X., Hamilton, W., Leskovec, J., 2018b
Cited in the paper.
Veličković, P., Cucurull, G., Casanova, A., Romero, A., Lio, P., Bengio, Y., 2017 · 2017
Later among the works it cites.
Deep learning with long short-term memory networks for financial market predictions
Fischer, T., Krauss, C., 2018 · 2018
Later among the works it cites.
Link prediction based on graph neural networks, in: Advances in Neural Information Processing Systems, pp. 5165–5175
Zhang, M., Chen, Y., 2018 · 2018
Later among the works it cites.
Temporal relational ranking for stock prediction
Feng, F., He, X., Wang, X., Luo, C., Liu, Y., Chua, T.S., 2019 · 2019
Closest in time.