HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

7 August 2019

Papers citing "HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction"

11 / 11 papers shown

Title
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model Junjie Li Yang Liu Weiqing Liu Shikai Fang Lewen Wang Chang Xu Jiang Bian VGen 80 4 0 04 Sep 2024
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 172 1,119 0 17 Apr 2019
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 292 2,146 0 22 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 257 3,537 0 06 Jun 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 85 1,932 0 27 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 144 1,513 0 30 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 468 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 498 15,232 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 588 7,443 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 614 29,032 0 09 Sep 2016
Twitter mood predicts the stock market J. Bollen Huina Mao Xiao-Jun Zeng AIFin 112 5,104 0 14 Oct 2010