Yanfang Ye

is this you? claim profile

0 followers

∙

University of Notre Dame

∙

West Virginia University

∙

Case Western Reserve University,

∙

Michigan State University

Featured Co-authors

Philip S. Yu
245 publications
Xin Li
214 publications
Liang Zhao
117 publications
Xiao Wang
107 publications
Bin Liu
105 publications
Yong Xu
94 publications
Xing Xie
90 publications
Lingfei Wu
86 publications
Hao Sun
65 publications
Chao Huang
60 publications
Yiming Zhang
33 publications

∙ 09/16/2022

Adversarial Cross-View Disentangled Graph Contrastive Learning

Graph contrastive learning (GCL) is prevalent to tackle the supervision ...

Qianlong Wen, et al. ∙

∙ 02/28/2022

Disentangled Spatiotemporal Graph Generative Models

Spatiotemporal graph represents a crucial data structure where the nodes...

Yuanqi Du, et al. ∙

∙ 02/18/2022

Black-box Node Injection Attack for Graph Neural Networks

Graph Neural Networks (GNNs) have drawn significant attentions over the ...

Mingxuan Ju, et al. ∙

∙ 12/08/2021

Adaptive Kernel Graph Neural Network

Graph neural networks (GNNs) have demonstrated great success in represen...

Mingxuan Ju, et al. ∙

∙ 10/26/2021

Heterogeneous Temporal Graph Neural Network

Graph neural networks (GNNs) have been broadly studied on dynamic graphs...

Yujie Fan, et al. ∙

∙ 10/25/2021

Gophormer: Ego-Graph Transformer for Node Classification

Transformers have achieved remarkable performance in a myriad of fields ...

Jianan Zhao, et al. ∙

∙ 10/08/2021

Knowledge-aware Coupled Graph Neural Network for Social Recommendation

Social recommendation task aims to predict users' preferences over items...

Chao Huang, et al. ∙

∙ 08/19/2021

Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach

Social media such as Instagram and Twitter have become important platfor...

Chuanbo Hu, et al. ∙

∙ 08/18/2021

Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion

Illicit drug trafficking via social media sites such as Instagram has be...

Chuanbo Hu, et al. ∙

∙ 05/18/2021

CoTexT: Multi-task Learning with Code-Text Transformer

We present CoTexT, a pre-trained, transformer-based encoder-decoder mode...

Long Phan, et al. ∙

∙ 11/30/2020

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Heterogeneous graphs (HGs) also known as heterogeneous information netwo...

Xiao Wang, et al. ∙

∙ 06/09/2020

Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement

Disentangled representation learning has recently attracted a significan...

Xiaojie Guo, et al. ∙

∙ 05/24/2020

SoK: Arms Race in Adversarial Malware Detection

Malicious software (malware) is a major cyber threat that shall be tackl...

Deqiang Li, et al. ∙

∙ 04/15/2020

Enhancing Deep Neural Networks Against Adversarial Malware Examples

Machine learning based malware detection is known to be vulnerable to ad...

Deqiang Li, et al. ∙

∙ 03/27/2020

α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19

The novel coronavirus and its deadly outbreak have posed grand challenge...

Yanfang Ye, et al. ∙

∙ 12/06/2019

Hyperbolic Graph Attention Network

Graph neural network (GNN) has shown superior performance in dealing wit...

Yiding Zhang, et al. ∙

∙ 09/10/2019

Temporal Network Embedding with Micro- and Macro-dynamics

Network embedding aims to embed nodes into a low-dimensional space, whil...

Yuanfu Lu, et al. ∙

∙ 12/19/2018

Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge

Malware continues to be a major cyber threat, despite the tremendous eff...

Deqiang Li, et al. ∙

∙ 11/02/2018

AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection

The explosive growth and increasing sophistication of Android malware ca...

Yanfang Ye, et al. ∙