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Graph-Based Learning for Stock Movement Prediction with Textual and
  Relational Data
v1v2 (latest)

Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data

22 July 2021
Qinkai Chen
C. Robert
    AIFin
ArXiv (abs)PDFHTML

Papers citing "Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data"

23 / 23 papers shown
Title
On the universality of the volatility formation process: when machine
  learning and rough volatility agree
On the universality of the volatility formation process: when machine learning and rough volatility agree
M. Rosenbaum
Jianfei Zhang
OODAIFinAI4TS
46
7
0
28 Jun 2022
Multi-Transformer: A New Neural Network-Based Architecture for
  Forecasting S&P Volatility
Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility
Eduardo Ramos-Pérez
P. Alonso-González
J. J. Núñez-Velázquez
77
47
0
26 Sep 2021
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
97
791
0
08 Sep 2020
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement
  Prediction
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
AIFinAI4TS
53
53
0
11 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
532
42,559
0
03 Dec 2019
TabNet: Attentive Interpretable Tabular Learning
TabNet: Attentive Interpretable Tabular Learning
Sercan O. Arik
Tomas Pfister
LMTD
188
1,355
0
20 Aug 2019
HATS: A Hierarchical Graph Attention Network for Stock Movement
  Prediction
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Raehyun Kim
Chan Ho So
Minbyul Jeong
Sanghoon Lee
Jinkyu Kim
Jaewoo Kang
AIFin
72
128
0
07 Aug 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Universal Sentence Encoder
Universal Sentence Encoder
Daniel Cer
Yinfei Yang
Sheng-yi Kong
Nan Hua
Nicole Limtiaco
...
Steve Yuan
Chris Tar
Yun-hsuan Sung
B. Strope
R. Kurzweil
439
1,907
0
29 Mar 2018
Universal features of price formation in financial markets: perspectives
  from Deep Learning
Universal features of price formation in financial markets: perspectives from Deep Learning
Justin A. Sirignano
R. Cont
AIFin
67
261
0
19 Mar 2018
Listening to Chaotic Whispers: A Deep Learning Framework for
  News-oriented Stock Trend Prediction
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
Ziniu Hu
Weiqing Liu
Jiang Bian
Xuanzhe Liu
Tie-Yan Liu
47
308
0
06 Dec 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,225
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
730
132,363
0
12 Jun 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
127
1,261
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
652
29,154
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
356
7,669
0
30 Jun 2016
Towards Universal Paraphrastic Sentence Embeddings
Towards Universal Paraphrastic Sentence Embeddings
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
AI4TS
166
555
0
25 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
223
3,353
0
30 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
575
27,325
0
01 Sep 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
228
4,884
0
21 Dec 2013
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