Guangtao Wang | DeepAI

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229 publications
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∙ 04/28/2023

Imbalanced Node Classification Beyond Homophilic Assumption

Imbalanced node classification widely exists in real-world networks wher...

0 Jie Liu, et al. ∙

∙ 02/23/2023

EfficientFace: An Efficient Deep Network with Feature Enhancement for Accurate Face Detection

In recent years, deep convolutional neural networks (CNN) have significa...

0 Guangtao Wang, et al. ∙

∙ 08/03/2022

SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences

Distilling supervision signal from a long sequence to make predictions i...

0 Peng Qi, et al. ∙

∙ 03/01/2022

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs

Question answering over temporal knowledge graphs (KGs) efficiently uses...

0 Chao Shang, et al. ∙

∙ 03/12/2021

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification

Recent work on aspect-level sentiment classification has demonstrated th...

0 Xiaochen Hou, et al. ∙

∙ 01/15/2021

Ensemble Learning Based Classification Algorithm Recommendation

Recommending appropriate algorithms to a classification problem is one o...

0 Guangtao Wang, et al. ∙

∙ 09/29/2020

Direct Multi-hop Attention based Graph Neural Network

Introducing self-attention mechanism in graph neural networks (GNNs) ach...

13 Guangtao Wang, et al. ∙

∙ 09/19/2020

Inductive Learning on Commonsense Knowledge Graph Completion

Commonsense knowledge graph (CKG) is a special type of knowledge graph (...

29 Bin Wang, et al. ∙

∙ 08/27/2020

Entity and Evidence Guided Relation Extraction for DocRED

Document-level relation extraction is a challenging task which requires ...

0 Kevin Huang, et al. ∙

∙ 11/09/2019

Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding

Translational distance-based knowledge graph embedding has shown progres...

12 Yun Tang, et al. ∙

∙ 11/01/2019

Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents

Interpretable multi-hop reading comprehension (RC) over multiple documen...

0 Ming Tu, et al. ∙

∙ 10/25/2019

Improving Graph Attention Networks with Large Margin-based Constraints

Graph Attention Networks (GATs) are the state-of-the-art neural architec...

18 Guangtao Wang, et al. ∙

∙ 10/24/2019

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification

Aspect-level sentiment classification aims to identify the sentiment pol...

0 Xiaochen Hou, et al. ∙

∙ 05/17/2019

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

Multi-hop reading comprehension (RC) across documents poses new challeng...

0 Ming Tu, et al. ∙

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