Wentao Xu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Consistency of Responses and Continuations Generated by Large Language Models on Social Media	2025	Wenfei Fan Yuqi Zhu Chenyang Wang Bin Wang Wentao Xu
+	HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information	2021	Wentao Xu Weiqing Liu Lewen Wang Yingce Xia Jiang Bian Jian Yin Tie‐Yan Liu
+ PDF Chat	REST: Relational Event-driven Stock Trend Forecasting	2021	Wentao Xu Weiqing Liu Chang Xu Jiang Bian Jian Yin Tie‐Yan Liu
+	Instance-wise Graph-based Framework for Multivariate Time Series Forecasting	2021	Wentao Xu Weiqing Liu Jiang Bian Jian Yin Tie‐Yan Liu
+	HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information	2021	Wentao Xu Liu Wei-qing Lewen Wang Yingce Xia Jiang Bian Jian Yin Tie‐Yan Liu
+	SEEK: Segmented Embedding of Knowledge Graphs	2020	Wentao Xu Shun Zheng Liang He Bin Shao Jian Yin Tie‐Yan Liu
+	SEEK: Segmented Embedding of Knowledge Graphs	2020	Wentao Xu Shun Zheng Liang He Bin Shao Jian Yin Tie‐Yan Liu

Common Coauthors

Coauthor	Papers Together
Tie‐Yan Liu	4
Jian Yin	3
Jian Yin	2
Yingce Xia	2
Tie‐Yan Liu	2
Lewen Wang	2
Liang He	2
Weiqing Liu	2
Jiang Bian	2
Jiang Bian	2
Shun Zheng	2
Bin Shao	1
Bin Shao	1
Liu Wei-qing	1
Jian Yin	1
Yuqi Zhu	1
Bin Wang	1
Wenfei Fan	1
Weiqing Liu	1
Chenyang Wang	1
Chang Xu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	3
+	ProjE: Embedding Projection for Knowledge Graph Completion	2016	Baoxu Shi Tim Weninger	2
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+	On the Equivalence of Holographic and Complex Embeddings for Link Prediction	2017	Katsuhiko Hayashi Masashi Shimbo	2
+	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space	2019	Zhiqing Sun Zhihong Deng Jian‐Yun Nie Jian Tang	2
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2017	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Enhancing Stock Movement Prediction with Adversarial Training	2019	Fuli Feng Huimin Chen Xiangnan He Ji Ding Maosong Sun Tat‐Seng Chua	2
+	Relation Embedding with Dihedral Group in Knowledge Graph	2019	Canran Xu Ruijiang Li	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+	Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis.	2019	Daiki Matsunaga Toyotaro Suzumura Toshihiro Takahashi	2
+	Embedding Entities and Relations for Learning and Inference in Knowledge Bases	2014	Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng	2
+	N-BEATS: Neural basis expansion analysis for interpretable time series forecasting	2019	Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio	2
+ PDF Chat	Can Online Emotions Predict the Stock Market in China?	2016	Zhenkun Zhou Jichang Zhao Ke Xu	2
+	SimplE embedding for link prediction in knowledge graphs	2018	Seyed Mehran Kazemi David Poole	2
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	Temporal Relational Ranking for Stock Prediction	2019	Fuli Feng Xiangnan He Xiang Wang Cheng Luo Yiqun Liu Tat‐Seng Chua	2
+ PDF Chat	Knowledge Graph Embedding With Iterative Guidance From Soft Rules	2018	Shu Guo Quan Wang Lihong Wang Bin Wang Li Guo	2
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+ PDF Chat	An Interpretable Knowledge Transfer Model for Knowledge Base Completion	2017	Qizhe Xie Xuezhe Ma Zihang Dai Eduard Hovy	2
+ PDF Chat	Improving Knowledge Graph Embedding Using Simple Constraints	2018	Boyang Ding Quan Wang Bin Wang Li Guo	2
+	Complex Embeddings for Simple Link Prediction	2016	Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard	2
+ PDF Chat	InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions	2020	Shikhar Vashishth Soumya Sanyal Vikram Nitin Nilesh Agrawal Partha Talukdar	1
+	Towards Deeper Graph Neural Networks	2020	Meng Liu Hongyang Gao Shuiwang Ji	1
+ PDF Chat	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks	2020	Zonghan Wu Shirui Pan Guodong Long Jing Jiang Xiaojun Chang Chengqi Zhang	1
+	Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction	2017	Ziniu Hu Weiqing Liu Jiang Bian Xuanzhe Liu Tie‐Yan Liu	1
+	Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis	2019	Daiki Matsunaga Toyotaro Suzumura Toshihiro Takahashi	1
+ PDF Chat	REST: Relational Event-driven Stock Trend Forecasting	2021	Wentao Xu Weiqing Liu Chang Xu Jiang Bian Jian Yin Tie‐Yan Liu	1
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	1
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	Complex Embeddings for Simple Link Prediction	2016	Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard	1
+ PDF Chat	ProjE: Embedding Projection for Knowledge Graph Completion	2017	Baoxu Shi Tim Weninger	1
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	1
+ PDF Chat	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks	2018	Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu	1
+	Analogical Inference for Multi-Relational Embeddings	2017	Hanxiao Liu Yuexin Wu Yiming Yang	1
+	Knowledge Base Completion: Baselines Strike Back	2017	Rudolf Kadlec Ondřej Bajgar Jan Kleindienst	1
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2018	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	1
+	DKN: Deep Knowledge-Aware Network for News Recommendation	2018	Hongwei Wang Fuzheng Zhang Xing Xie Minyi Guo	1
+	SimplE Embedding for Link Prediction in Knowledge Graphs	2018	Seyed Mehran Kazemi David Poole	1
+	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	2018	Shaojie Bai J. Zico Kolter Vladlen Koltun	1
+	Representation Learning on Graphs with Jumping Knowledge Networks	2018	Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken‐ichi Kawarabayashi Stefanie Jegelka	1
+	Graph Pattern Entity Ranking Model for Knowledge Graph Completion	2019	Takuma Ebisu Ryutaro Ichise	1
+	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting	2019	Rajat Sen Hsiang‐Fu Yu Inderjit S. Dhillon	1
+	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space	2019	Zhiqing Sun Zhihong Deng Jian‐Yun Nie Jian Tang	1
+ PDF Chat	Holographic Embeddings of Knowledge Graphs	2016	Maximilian Nickel Lorenzo Rosasco Tomaso Poggio	1
+ PDF Chat	Graph Pattern Entity Ranking Model for Knowledge Graph Completion	2019	Takuma Ebisu Ryutaro Ichise	1
+	Knowledge Base Completion: Baselines Strike Back	2017	Rudolf Kadlec Ondřej Bajgar Jan Kleindienst	1
+ PDF Chat	Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	Qimai Li Zhichao Han Xiao-Ming Wu	1
+	On the Equivalence of Holographic and Complex Embeddings for Link Prediction	2017	Katsuhiko Hayashi Masashi Shimbo	1
+	HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction	2019	Raehyun Kim Chan Ho So Minbyul Jeong Sang‐Hoon Lee Jinkyu Kim Jaewoo Kang	1