Suhang Wang

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals

Time series data is prevalent in a wide variety of real-world applicatio...
11/23/2020 ∙ by Tsung-Yu Hsieh, et al. ∙ 0 ∙ share

read it
FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information

Graph neural networks (GNNs) have shown great power in modeling graph st...
09/03/2020 ∙ by Enyan Dai, et al. ∙ 0 ∙ share

read it
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

In recent years, the proliferation of so-called "fake news" has caused m...
09/01/2020 ∙ by Thai Le, et al. ∙ 0 ∙ share

read it
Graph Convolutional Networks against Degree-Related Biases

In recent years, Graph Convolutional Networks (GCNs) show competitive pe...
06/28/2020 ∙ by Xianfeng Tang, et al. ∙ 0 ∙ share

read it
Self-supervised Learning on Graphs: Deep Insights and New Direction

The success of deep learning notoriously requires larger amounts of cost...
06/17/2020 ∙ by Wei Jin, et al. ∙ 24 ∙ share

read it
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

With the rapid growth and prevalence of social network applications (App...
06/10/2020 ∙ by Xianfeng Tang, et al. ∙ 0 ∙ share

read it
Graph Structure Learning for Robust Graph Neural Networks

Graph Neural Networks (GNNs) are powerful tools in representation learni...
05/20/2020 ∙ by Wei Jin, et al. ∙ 5 ∙ share

read it
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository

Nowadays, Internet is a primary source of attaining health information. ...
01/27/2020 ∙ by Enyan Dai, et al. ∙ 0 ∙ share

read it
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values

Multivariate time series (MTS) forecasting is widely used in various dom...
11/22/2019 ∙ by Xianfeng Tang, et al. ∙ 0 ∙ share

read it
Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples

Even though the topic of explainable AI/ML is very popular in text and c...
11/05/2019 ∙ by Thai Le, et al. ∙ 0 ∙ share

read it
Graph Few-shot Learning via Knowledge Transfer

Towards the challenging problem of semi-supervised node classification, ...
10/07/2019 ∙ by Huaxiu Yao, et al. ∙ 20 ∙ share

read it
Node Injection Attacks on Graphs via Reinforcement Learning

Real-world graph applications, such as advertisements and product recomm...
09/14/2019 ∙ by Yiwei Sun, et al. ∙ 4 ∙ share

read it
Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning

Graph neural networks (GNNs) are widely used in many applications. Howev...
08/20/2019 ∙ by Xianfeng Tang, et al. ∙ 0 ∙ share

read it
I Am Not What I Write: Privacy Preserving Text Representation Learning

Online users generate tremendous amounts of textual information by parti...
07/06/2019 ∙ by Ghazaleh Beigi, et al. ∙ 0 ∙ share

read it
Attacking Graph Convolutional Networks via Rewiring

Graph Neural Networks (GNNs) have boosted the performance of many graph ...
06/10/2019 ∙ by Yao Ma, et al. ∙ 0 ∙ share

read it
The Role of User Profile for Fake News Detection

Consuming news from social media is becoming increasingly popular. Socia...
04/30/2019 ∙ by Kai Shu, et al. ∙ 0 ∙ share

read it
Graph Convolutional Networks with EigenPooling

Graph neural networks, which generalize deep neural network models to gr...
04/30/2019 ∙ by Yao Ma, et al. ∙ 0 ∙ share

read it
Disentangled Variational Auto-Encoder for Semi-supervised Learning

In this paper, we develop a novel approach for semi-supervised VAE witho...
09/15/2017 ∙ by Yang Li, et al. ∙ 0 ∙ share

read it
Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications

Most social media platforms are largely based on text, and users often w...
09/14/2017 ∙ by Fred Morstatter, et al. ∙ 0 ∙ share

read it
Fake News Detection on Social Media: A Data Mining Perspective

Social media for news consumption is a double-edged sword. On the one ha...
08/07/2017 ∙ by Kai Shu, et al. ∙ 0 ∙ share

read it

Suhang Wang

Featured Co-authors

Yang Li

Junzhou Huang

Jiliang Tang

Lingfei Wu

Erik Cambria

Zitao Liu

Meng Jiang

Huan Liu

Tao Yang

Ying Wei

Vasant Honavar

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals

FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

Graph Convolutional Networks against Degree-Related Biases

Self-supervised Learning on Graphs: Deep Insights and New Direction

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

Graph Structure Learning for Robust Graph Neural Networks

Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values

Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples

Graph Few-shot Learning via Knowledge Transfer

Node Injection Attacks on Graphs via Reinforcement Learning

Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning

I Am Not What I Write: Privacy Preserving Text Representation Learning

Attacking Graph Convolutional Networks via Rewiring

The Role of User Profile for Fake News Detection

Graph Convolutional Networks with EigenPooling

Disentangled Variational Auto-Encoder for Semi-supervised Learning

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications

Fake News Detection on Social Media: A Data Mining Perspective