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20112023
most citedInvestigating and Mitigating Degree-Related Biases in Graph Convolutional Networks

96 citations · 415 across the 46 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 15 cited

Text Style Transfer: A Review and Experimental Evaluation

Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal +1

The stylistic properties of text have intrigued computational linguistics researchers in recent years. Specifically, researchers have investigated the Text Style Transfer (TST) tas…

cs.CR2020

MALOnt: An Ontology for Malware Threat Intelligence

Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki +2

Malware threat intelligence uncovers deep information about malware, threat actors, and their tactics, Indicators of Compromise(IoC), and vulnerabilities in different platforms fro…

cs.LG2020★ 96 cited

Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks

Xianfeng Tang, Huaxiu Yao, Yiwei Sun +5

Graph Convolutional Networks (GCNs) show promising results for semi-supervised learning tasks on graphs, thus become favorable comparing with other approaches. Despite the remarkab…

cs.LG2020★ 2 cited

Customized Graph Neural Networks

Yiqi Wang, Yao Ma, Wei Jin +3

Recently, Graph Neural Networks (GNNs) have greatly advanced the task of graph classification. Typically, we first build a unified GNN model with graphs in a given training set and…

cs.LG2020★ 34 cited

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

Zhiqian Chen, Fanglan Chen, Lei Zhang +7

Deep learning's success has been widely recognized in a variety of machine learning tasks, including image classification, audio recognition, and natural language processing. As an…