Shu Guo

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All published works

Action	Title	Year	Authors
+ PDF Chat	Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion	2024	Qian Li Shu Guo Yingjia Chen Cheng Ji Jiawei Sheng Jianxin Li
+ PDF Chat	Event Extraction by Associating Event Types and Argument Roles	2023	Qian Li Shu Guo Jia Wu Jianxin Li Jiawei Sheng Hao Peng Lihong Wang
+ PDF Chat	Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment	2023	Qian Li Shu Guo Yangyifei Luo Cheng Ji Lihong Wang Jiawei Sheng Jianxin Li
+ PDF Chat	A Survey on Deep Learning Event Extraction: Approaches and Applications	2022	Qian Li Jianxin Li Jiawei Sheng Shiyao Cui Jia Wu Yiming Hei Hao Peng Shu Guo Lihong Wang Amin Beheshti
+	Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.	2021	Qian Li Hao Peng Jianxin Li Yiming Hei Rui Sun Jiawei Sheng Shu Guo Lihong Wang Philip S. Yu
+	A Comprehensive Survey on Schema-based Event Extraction with Deep Learning	2021	Qian Li Hao Peng Jianxin Li Yiming Hei Rui Sun Jiawei Sheng Shu Guo Lihong Wang Jia Wu Amin Beheshti
+	Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation	2021	Qianren Mao Xi Li Hao Peng Bang Liu Shu Guo Jianxin Li Lihong Wang Philip S. Yu
+	Bipartite Graph Embedding via Mutual Information Maximization	2021	Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang
+	CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction	2021	Jiawei Sheng Shu Guo Bowen Yu Qian Li Yiming Hei Lihong Wang Tingwen Liu Hongbo Xu
+	CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction	2021	Jiawei Sheng Shu Guo Bowen Yu Qian Li Yiming Hei Lihong Wang Tingwen Liu Hongbo Xu
+	Deep Structural Point Process for Learning Temporal Interaction Networks	2021	Jiangxia Cao Xixun Lin Xin Cong Shu Guo Hengzhu Tang Tingwen Liu Bin Wang
+	Event Extraction by Associating Event Types and Argument Roles	2021	Qian Li Shu Guo Jia Wu Jianxin Li Jiawei Sheng Lihong Wang Xiaohan Dong Hao Peng
+ PDF Chat	Deep Structural Point Process for Learning Temporal Interaction Networks	2021	Jiangxia Cao Xixun Lin Xin Cong Shu Guo Hengzhu Tang Tingwen Liu Bin Wang
+	Adaptive Attentional Network for Few-Shot Knowledge Graph Completion	2020	Jiawei Sheng Shu Guo Zhen-Yu Chen Juwei Yue Lihong Wang Tingwen Liu Hongbo Xü
+	Adaptive Attentional Network for Few-Shot Knowledge Graph Completion	2020	Jiawei Sheng Shu Guo Zhen-Yu Chen Juwei Yue Lihong Wang Tingwen Liu Hongbo Xü
+	Bipartite Graph Embedding via Mutual Information Maximization	2020	Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang
+ PDF Chat	Knowledge Graph Embedding With Iterative Guidance From Soft Rules	2018	Shu Guo Quan Wang Lihong Wang Bin Wang Li Guo
+	Knowledge Graph Embedding with Iterative Guidance from Soft Rules	2017	Shu Guo Quan Wang Lihong Wang Bin Wang Li Guo

Common Coauthors

Coauthor	Papers Together
Jiawei Sheng	11
Jianxin Li	7
Lihong Wang	7
Hao Peng	6
Lihong Wang	6
Yiming Hei	5
Qian Li	5
Jia Wu	4
Jiangxia Cao	4
Philip S. Yu	4
Tingwen Liu	4
Xixun Lin	4
Tingwen Liu	4
Qian Li	3
Bin Wang	2
Bin Wang	2
Hongbo Xü	2
Zhenyu Chen	2
Rui Sun	2
Bowen Yu	2
Li Guo	2
Bin Wang	2
Juwei Yue	2
Hengzhu Tang	2
Hongbo Xu	2
Xin Cong	2
Amin Beheshti	2
Luchen Liu	2
Quan Wang	2
Qianren Mao	1
Cheng Ji	1
Qian Li	1
Shiyao Cui	1
Jianxin Li	1
Xi Li	1
Yangyifei Luo	1
Bang Liu	1
Cheng Ji	1
Yingjia Chen	1
Xiaohan Dong	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Reading the Manual: Event Extraction as Definition Comprehension	2020	Yunmo Chen Tongfei Chen Seth Ebner Aaron Steven White Benjamin Van Durme	7
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	7
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	6
+ PDF Chat	Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation	2018	Xiao Liu Zhunchen Luo Heyan Huang	6
+ PDF Chat	One for All: Neural Joint Modeling of Entities and Events	2019	Trung Minh Nguyen Thien Huu Nguyen	6
+ PDF Chat	Entity, Relation, and Event Extraction with Contextualized Span Representations	2019	David Wadden Ulme Wennberg Yi Luan Hannaneh Hajishirzi	6
+	Deep Learning for Community Detection: Progress, Challenges and Opportunities	2020	Fanzhen Liu Shan Xue Jia Wu Chuan Zhou Wenbin Hu Cécile Paris ‪Surya Nepal‬ Jian Yang Philip S. Yu	5
+	Event Extraction by Answering (Almost) Natural Questions	2020	Xinya Du Claire Cardie	5
+	Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction	2021	Yaojie Lu Hongyu Lin Jin Xu Xianpei Han Jialong Tang Annan Li Le Sun Meng Liao Shaoyi Chen	4
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	4
+	Embedding Entities and Relations for Learning and Inference in Knowledge Bases	2014	Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng	4
+	Complex Embeddings for Simple Link Prediction	2016	Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard	4
+	Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding	2020	Xinya Du Claire Cardie	3
+ PDF Chat	Joint Extraction of Events and Entities within a Document Context	2016	Bishan Yang Tom M. Mitchell	3
+ PDF Chat	Universal Decompositional Semantic Parsing	2020	Elias Stengel-Eskin Aaron Steven White Sheng Zhang Benjamin Van Durme	3
+	Semi-Supervised Event Extraction with Paraphrase Clusters	2018	James F. Ferguson Colin Lockard Daniel S. Weld Hannaneh Hajishirzi	3
+ PDF Chat	Scale Up Event Extraction Learning via Automatic Training Data Generation	2018	Ying Zeng Yansong Feng Rong Ma Zheng Wang Rui Yan Chongde Shi Dongyan Zhao	3
+ PDF Chat	Rapid Customization for Event Extraction	2019	Yee Seng Chan Joshua Fasching Haoling Qiu Bonan Min	3
+	GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction	2021	Xinya Du Alexander M. Rush Claire Cardie	3
+	A Comprehensive Survey on Graph Anomaly Detection with Deep Learning	2021	Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Quan Z. Sheng Hui Xiong	3
+ PDF Chat	Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering	2021	Antoine Bosselut Ronan Le Bras Yejin Choi	3
+	A Comprehensive Survey on Community Detection With Deep Learning	2022	Xing Su Shan Xue Fanzhen Liu Jia Wu Jian Yang Chuan Zhou Wenbin Hu Cécile Paris ‪Surya Nepal‬ Di Jin	3
+	A Unified MRC Framework for Named Entity Recognition	2020	Xiaoya Li Jingrong Feng Yuxian Meng Qinghong Han Fei Wu Jiwei Li	3
+	What Question Answering can Learn from Trivia Nerds	2020	Jordan Boyd‐Graber Benjamin Börschinger	3
+ PDF Chat	Taming Pretrained Transformers for Extreme Multi-label Text Classification	2020	Wei-Cheng Chang Hsiang‐Fu Yu Kai Zhong Yiming Yang Inderjit S. Dhillon	3
+	Open Domain Event Extraction Using Neural Latent Variable Models	2019	Xiao Liu Heyan Huang Yue Zhang	3
+	Open Event Extraction from Online Text using a Generative Adversarial Network	2019	Rui Wang Deyu Zhou Yulan He	3
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	3
+	Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction	2019	Shun Zheng Wei Cao Wei Xu Jiang Bian	3
+	Open-domain Event Extraction and Embedding for Natural Gas Market Prediction.	2019	Minh Triet Chau Diego Esteves Jens Lehmann	3
+ PDF Chat	Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection	2020	Shumin Deng Ningyu Zhang Jiaojian Kang Yichi Zhang Wei Zhang Huajun Chen	3
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+	Graph Convolutional Matrix Completion	2017	Rianne van den Berg Thomas Kipf Max Welling	2
+	Analogical Inference for Multi-Relational Embeddings	2017	Hanxiao Liu Yuexin Wu Yiming Yang	2
+	Spectra of some self-exciting and mutually exciting point processes	1971	Alan G. Hawkes	2
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2017	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	2
+	A Three-Way Model for Collective Learning on Multi-Relational Data	2011	Maximilian Nickel Volker Tresp Hans‐Peter Kriegel	2
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	2
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	2
+	Probabilistic Reasoning via Deep Learning: Neural Association Models	2016	Quan Liu Hui Jiang Zhen-Hua Ling Si Wei Yu Hu	2
+	A Review of Relational Machine Learning for Knowledge Graphs	2015	Maximilian Nickel Kevin Murphy Volker Tresp Evgeniy Gabrilovich	2
+ PDF Chat	Learning to Compare: Relation Network for Few-Shot Learning	2018	Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales	2
+	Session-based Recommendations with Recurrent Neural Networks	2016	Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas Domonkos Tikk	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+	Deep Coevolutionary Network: Embedding User and Item Features for Recommendation	2016	Hanjun Dai Yichen Wang Rakshit Trivedi Le Song	2
+ PDF Chat	Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning	2017	Jiasen Lu Caiming Xiong Devi Parikh Richard Socher	2
+	Learning Vertex Representations for Bipartite Networks	2019	Ming Gao Xiangnan He Leihui Chen Tingting Liu Jinglin Zhang Aoying Zhou	2
+ PDF Chat	Evaluation of Community Detection Methods	2019	Xin Liu Huimin Cheng Zhongyuan Zhang	2
+ PDF Chat	Zero-Shot Transfer Learning for Event Extraction	2018	Lifu Huang Heng Ji Kyunghyun Cho Ido Dagan Sebastian Riedel Clare R. Voss	2