Meng Qu | DeepAI

DeepAI AI Chat

Featured Co-authors

Yoshua Bengio
448 publications
Yu Zhang
406 publications
Zhiyuan Liu
209 publications
Jiawei Han
140 publications
Jian Tang
129 publications
Xing Xie
128 publications
Heng Ji
126 publications
Xiang Ren
120 publications
Rui Li
107 publications
Juho Kannala
79 publications
Tong Chen
78 publications

∙ 10/26/2022

Learning on Large-scale Text-attributed Graphs via Variational Inference

This paper studies learning on text-attributed graphs (TAGs), where each...

0 Jianan Zhao, et al. ∙

∙ 05/21/2022

KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification

This paper studies semi-supervised graph classification, which is an imp...

5 Wei Ju, et al. ∙

∙ 04/15/2022

Neural Structured Prediction for Inductive Node Classification

This paper studies node classification in the inductive setting, i.e., a...

13 Meng Qu, et al. ∙

∙ 02/22/2022

Structured Multi-task Learning for Molecular Property Prediction

Multi-task learning for molecular property prediction is becoming increa...

0 Shengchao Liu, et al. ∙

∙ 02/16/2022

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

Machine learning has huge potential to revolutionize the field of drug d...

8 Zhaocheng Zhu, et al. ∙

∙ 10/08/2020

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

This paper studies learning logic rules for reasoning on knowledge graph...

9 Meng Qu, et al. ∙

∙ 07/05/2020

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

This paper studies few-shot relation extraction, which aims at predictin...

12 Meng Qu, et al. ∙

∙ 06/24/2020

Graph Policy Network for Transferable Active Learning on Graphs

Graph neural networks (GNNs) have been attracting increasing popularity ...

25 Shengding Hu, et al. ∙

∙ 12/02/2019

Continuous Graph Neural Networks

This paper builds the connection between graph neural networks and tradi...

29 Louis-Pascal A. C. Xhonneux, et al. ∙

∙ 09/25/2019

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning

We present GraphMix, a regularization technique for Graph Neural Network...

4 Vikas Verma, et al. ∙

∙ 08/31/2019

Collaborative Policy Learning for Open Knowledge Graph Reasoning

In recent years, there has been a surge of interests in interpretable gr...

19 Cong Fu, et al. ∙

∙ 07/06/2019

Weakly-supervised Knowledge Graph Alignment with Adversarial Learning

This paper studies aligning knowledge graphs from different sources or l...

3 Meng Qu, et al. ∙

∙ 06/20/2019

Probabilistic Logic Neural Networks for Reasoning

Knowledge graph reasoning, which aims at predicting the missing facts th...

2 Meng Qu, et al. ∙

∙ 06/18/2019

vGraph: A Generative Model for Joint Community Detection and Node Representation Learning

This paper focuses on two fundamental tasks of graph analysis: community...

8 Fan-Yun Sun, et al. ∙

∙ 05/15/2019

GMNN: Graph Markov Neural Networks

This paper studies semi-supervised object classification in relational d...

11 Meng Qu, et al. ∙

∙ 03/02/2019

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

Learning continuous representations of nodes is attracting growing inter...

4 Zhaocheng Zhu, et al. ∙

∙ 02/20/2019

Learning Dual Retrieval Module for Semi-supervised Relation Extraction

Relation extraction is an important task in structuring content of text ...

0 Hongtao Lin, et al. ∙

∙ 11/09/2017

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning

Extracting relations from text corpora is an important task in text mini...

0 Meng Qu, et al. ∙

∙ 09/19/2017

An Attention-based Collaboration Framework for Multi-View Network Representation Learning

Learning distributed node representations in networks has been attractin...

0 Meng Qu, et al. ∙

∙ 06/25/2017

Automatic Synonym Discovery with Knowledge Bases

Recognizing entity synonyms from text has become a crucial task in many ...

0 Meng Qu, et al. ∙

∙ 11/29/2016

Identity-sensitive Word Embedding through Heterogeneous Networks

Most existing word embedding approaches do not distinguish the same word...

0 Jian Tang, et al. ∙

∙ 10/27/2016

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

Extracting entities and relations for types of interest from text is imp...

0 Xiang Ren, et al. ∙

∙ 02/17/2016

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

Current systems of fine-grained entity typing use distant supervision in...

0 Xiang Ren, et al. ∙

∙ 08/02/2015

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Unsupervised text embedding methods, such as Skip-gram and Paragraph Vec...

0 Jian Tang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world