Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection

Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection

Event detection is a particularly challenging problem in information extraction. The current neural network models have proved that dependency tree can better capture the correlation between candidate trigger words and related context in the sentence. However, syntactic information conveyed by the o...

Full description

Bibliographic Details
Main Authors:	Lei Li, Li Jin, Zequn Zhang, Qing Liu, Xian Sun, Hongqi Wang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Event detection graph convolutional network multi-head attention
Online Access:	https://ieeexplore.ieee.org/document/9200483/

Similar Items

Attention-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Classification with Multi-Head Attention
by: Guangtao Xu, et al.
Published: (2021-04-01)

Gaze-Aware Graph Convolutional Network for Social Relation Recognition
by: Xingming Yang, et al.
Published: (2021-01-01)

An Attention-Guided Spatiotemporal Graph Convolutional Network for Sleep Stage Classification
by: Chen, H., et al.
Published: (2022)

Question-aware Graph Convolutional Network for Educational Knowledge Base Question Answering
by: LIN Qika, ZHANG Lingling, LIU Jun, ZHAO Tianzhe
Published: (2021-10-01)

Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction
by: Yin Hong, et al.
Published: (2020-01-01)

KGGCN: Knowledge-Guided Graph Convolutional Networks for Distantly Supervised Relation Extraction
by: Ningyi Mao, et al.
Published: (2021-08-01)

Action Recognition Using Attention-Joints Graph Convolutional Neural Networks
by: Tasweer Ahmad, et al.
Published: (2020-01-01)

Scalable Graph Convolutional Networks With Fast Localized Spectral Filter for Directed Graphs
by: Chensheng Li, et al.
Published: (2020-01-01)

Cross-Channel Graph Convolutional Networks for Skeleton-Based Action Recognition
by: Jun Xie, et al.
Published: (2021-01-01)

Session-Based Graph Convolutional ARMA Filter Recommendation Model
by: Huanwen Wang, et al.
Published: (2020-01-01)

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
by: Jiandong Bai, et al.
Published: (2021-07-01)

Graph Convolutional Networks with Bidirectional Attention for Aspect-Based Sentiment Classification
by: Jie Liu, et al.
Published: (2021-02-01)

RRGCCAN: Re-Ranking via Graph Convolution Channel Attention Network for Person Re-Identification
by: Xiaoqiang Chen, et al.
Published: (2020-01-01)

Targeted Sentiment Classification Based on Attentional Encoding and Graph Convolutional Networks
by: Luwei Xiao, et al.
Published: (2020-02-01)

Multi-Branch Global Graph Convolution Network for Point Clouds
by: Haibo Fan, et al.
Published: (2021-01-01)

Context-Specific Heterogeneous Graph Convolutional Network for Implicit Sentiment Analysis
by: Enguang Zuo, et al.
Published: (2020-01-01)

Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion
by: Kexi Ji, et al.
Published: (2020-01-01)

RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion
by: Xiyang Liu, et al.
Published: (2021-01-01)

Adaptive Graph Convolution Using Heat Kernel for Attributed Graph Clustering
by: Danyang Zhu, et al.
Published: (2020-02-01)

Hyperspectral Image Classification with Localized Graph Convolutional Filtering
by: Shengliang Pu, et al.
Published: (2021-02-01)

Gaze Gesture Recognition by Graph Convolutional Networks
by: Lei Shi, et al.
Published: (2021-08-01)

Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations
by: Ping Xuan, et al.
Published: (2019-08-01)

Named-Entity Recognition in Sports Field Based on a Character-Level Graph Convolutional Network
by: Xieraili Seti, et al.
Published: (2020-01-01)

Dual graph convolutional neural network for predicting chemical networks
by: Shonosuke Harada, et al.
Published: (2020-04-01)

Skeleton-Based Emotion Recognition Based on Two-Stream Self-Attention Enhanced Spatial-Temporal Graph Convolutional Network
by: Jiaqi Shi, et al.
Published: (2021-12-01)

Regularized Simple Graph Convolution (SGC) for improved interpretability of large datasets
by: Phuong Pho, et al.
Published: (2020-10-01)

GACOforRec: Session-Based Graph Convolutional Neural Networks Recommendation Model
by: Mingge Zhang, et al.
Published: (2019-01-01)

Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks
by: Ruidong Jin, et al.
Published: (2021-01-01)

Neighborhood Aggregation Collaborative Filtering Based on Knowledge Graph
by: Dehai Zhang, et al.
Published: (2020-05-01)

Multi-Scale Mixed Dense Graph Convolution Network for Skeleton-Based Action Recognition
by: Hailun Xia, et al.
Published: (2021-01-01)

Remaining Useful Life Prognostics of Bearings Based on a Novel Spatial Graph-Temporal Convolution Network
by: Peihong Li, et al.
Published: (2021-06-01)

WMGCN: Weighted Meta-Graph Based Graph Convolutional Networks for Representation Learning in Heterogeneous Networks
by: Jinli Zhang, et al.
Published: (2020-01-01)

Malicious Powershell Detection Using Graph Convolution Network
by: Sunoh Choi
Published: (2021-07-01)

Gated Graph Attention Network for Cancer Prediction
by: Linling Qiu, et al.
Published: (2021-03-01)

Graph Convolution-Based Deep Clustering for Speech Separation
by: Shan Qin, et al.
Published: (2020-01-01)

Knowledge-Graph-Based Drug Repositioning against COVID-19 by Graph Convolutional Network with Attention Mechanism
by: Mingxuan Che, et al.
Published: (2021-01-01)

Graph Convolutional Architectures via Arbitrary Order of Information Aggregation
by: Chunpeng Zhou, et al.
Published: (2020-01-01)

Global Random Graph Convolution Network for Hyperspectral Image Classification
by: Chaozi Zhang, et al.
Published: (2021-06-01)

Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification
by: Yao Ding, et al.
Published: (2021-01-01)

A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering
by: Ronghui Guo, et al.
Published: (2021-01-01)