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With multiple components and relations, financial data are often presented as graph data, since it could represent both the individual features and the complicated relations.
GNN explainer: A tool for post-hoc explanation of graph neural networks
Ying R, Bourgeois D, You J, Zitnik M, Leskovec J (2019) · 1903
Earlier work this paper cites.
Finbert: Financial sentiment analysis with pre-trained language models
Araci D (2019) · 1908
Earlier work this paper cites.
Weber M, Domeniconi G, Chen J, Weidele DKI, Bellei C, Robinson T, et al. (2019) · 1908
Earlier work this paper cites.
Exploring graph neural networks for stock market predictions with rolling window analysis
Matsunaga D, Suzumura T, Takahashi T (2019) · 1909
Earlier work this paper cites.
Long short-term memory
Hochreiter S, Schmidhuber J (1997) · 1997
Earlier work this paper cites.
A new model for learning in graph domains
Gori M, Monfardini G, Scarselli F (2005) · 2005
Earlier work this paper cites.
xfraud: Explainable fraud transaction detection on heterogeneous graphs
Rao SX, Zhang S, Han Z, Zhang Z, Min W, Chen Z, et al. (2020) · 2011
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Cho K, van Merrienboer B, Gulcehre C, Bougares F, Schwenk H, Bengio Y (2014) · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Pennington J, Socher R, Manning CD (2014) · 2014
Earlier work this paper cites.
Wikidata: a free collaborative knowledgebase
Vrandečić D, Krötzsch M (2014) · 2014
Earlier work this paper cites.
Gated graph sequence neural networks
Li Y, Zemel R, Brockschmidt M, Tarlow D (2016) · 2016
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Kipf TN, Welling M (2017) · 2017
Earlier work this paper cites.
Universal sentence encoder for english
Cer D, Yang Y, Kong Sy, Hua N, Limtiaco N, John RS, et al. (2018) · 2018
Earlier work this paper cites.
Incorporating corporation relationship via graph convolutional neural networks for stock price prediction
Chen Y, Wei Z, Huang X (2018) · 2018
Earlier work this paper cites.
Study on a prediction of p2p network loan default based on the machine learning lightgbm and xgboost algorithms according to different high dimensional data cleaning
Ma X, Sha J, Wang D, Yu Y, Yang Q, Niu X (2018) · 2018
Earlier work this paper cites.
Graph attention networks
Veličković P, Cucurull G, Casanova A, Romero A, Liò P, Bengio Y (2018) · 2018
Earlier work this paper cites.
How powerful are graph neural networks?
Xu K, Hu W, Leskovec J, Jegelka S (2018) · 2018
Earlier work this paper cites.
Link prediction based on graph neural networks
Zhang M, Chen Y (2018) · 2018
Earlier work this paper cites.
Risk assessment for networked-guarantee loans using high-order graph attention representation
Cheng D, Tu Y, Ma Z, Niu Z, Zhang L (2019) · 2019
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin J, Chang MW, Lee K, Toutanova K (2019) · 2019
Cited alongside, same era.
Temporal relational ranking for stock prediction
Feng F, He X, Wang X, Luo C, Liu Y, Chua TS (2019) · 2019
Cited alongside, same era.
Cash-out user detection based on attributed heterogeneous information network with a hierarchical attention mechanism
Hu B, Zhang Z, Shi C, Zhou J, Li X, Qi Y (2019) · 2019
Cited alongside, same era.
Anomaly detection with graph convolutional networks for insider threat and fraud detection
Jiang J, Chen J, Gu T, Choo KKR, Liu C, Yu M, et al. (2019) · 2019
Cited alongside, same era.
Attention models in graphs: A survey
Lee JB, Rossi RA, Kim S, Ahmed NK, Koh E (2019) · 2019
Cited alongside, same era.
Uncovering insurance fraud conspiracy with network learning
Hierarchical bipartite graph neural networks: Towards large-scale e-commerce applications
Li Z, Shen X, Jiao Y, Pan X, Zou P, Meng X, et al. (2020c) · 2020
Later among the works it cites.
Deep learning for financial applications: A survey
Ozbayoglu AM, Gudelek MU, Sezer OB (2020) · 2020
Later among the works it cites.
Evolvegcn: Evolving graph convolutional networks for dynamic graphs
Pareja A, Domeniconi G, Chen J, Ma T, Suzumura T, Kanezashi H, et al. (2020) · 2020
Later among the works it cites.
Deep attentive learning for stock movement prediction from social media text and company correlations
Sawhney R, Agarwal S, Wadhwa A, Shah R (2020a) · 2020
Later among the works it cites.
Voltage: Volatility forecasting via text-audio fusion with graph convolution networks for earnings calls
Sawhney R, Khanna P, Aggarwal A, Jain T, Mathur P, Shah R (2020b) · 2020
Later among the works it cites.
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Liang C, Liu Z, Liu B, Zhou J, Li X, Yang S, et al. (2019) · 2019
Cited alongside, same era.
Geniepath: Graph neural networks with adaptive receptive paths
Liu Z, Chen C, Li L, Zhou J, Li X, Song L, et al. (2019) · 2019
Cited alongside, same era.
Auto-encoder based graph convolutional networks for online financial anti-fraud
Lv L, Cheng J, Peng N, Fan M, Zhao D, Zhang J (2019) · 2019
Cited alongside, same era.
A semi-supervised graph attentive network for financial fraud detection
Wang D, Lin J, Cui P, Jia Q, Wang Z, Fang Y, et al. (2019) · 2019
Cited alongside, same era.
Aligraph: A comprehensive graph neural network platform
Yang H (2019) · 2019
Cited alongside, same era.
Using external knowledge for financial event prediction based on graph neural networks
Yang Y, Wei Z, Chen Q, Wu L (2019) · 2019
Cited alongside, same era.
Graph convolutional networks: a comprehensive review
Zhang S, Tong H, Xu J, Maciejewski R (2019) · 2019
Cited alongside, same era.
Peer-to-peer loan acceptance and default prediction with artificial intelligence
Turiel J, Aste T (2020) · 2020
Later among the works it cites.
Financial risk analysis for smes with graph-based supply chain mining
Yang S, Zhang Z, Zhou J, Wang Y, Sun W, Zhong X, et al. (2020) · 2020
Later among the works it cites.
Time-aware graph relational attention network for stock recommendation
Ying X, Xu C, Gao J, Wang J, Li Z (2020) · 2020
Later among the works it cites.
Gcn-based user representation learning for unifying robust recommendation and fraudster detection
Zhang S, Yin H, Chen T, Hung QVN, Huang Z, Cui L (2020) · 2020
Later among the works it cites.
Graph neural networks: A review of methods and applications
Zhou J, Cui G, Hu S, Zhang Z, Yang C, Liu Z, et al. (2020) · 2020
Later among the works it cites.
Heterogeneous mini-graph neural network and its application to fraud invitation detection
Zhu YN, Luo X, Li YF, Bu B, Zhou K, Zhang W, et al. (2020) · 2020
Later among the works it cites.
Applications of deep learning in stock market prediction: recent progress
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Gnn-based graph anomaly detection with graph anomaly loss
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