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20092023
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations · 21.9k across the 280 of their papers we have counts for

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Showing 2018Show all

52 papers · 1 filter

cs.DB2018★ 166 cited

HUOPM: High Utility Occupancy Pattern Mining

Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger +2

Mining useful patterns from varied types of databases is an important research topic, which has many real-life applications. Most studies have considered the frequency as sole inte…

cs.CR2018★ 293 cited

Adversarial Attack and Defense on Graph Data: A Survey

Lichao Sun, Yingtong Dou, Carl Yang +5

Deep neural networks (DNNs) have been widely applied to various applications, including image classification, text generation, audio recognition, and graph data analysis. However,…

cs.CL2018★ 39 cited

Joint Slot Filling and Intent Detection via Capsule Neural Networks

Chenwei Zhang, Yaliang Li, Nan Du +2

Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding. The existing works either treat slot filling a…

cs.CR2018★ 1 cited

Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification

Shen Wang, Zhengzhang Chen, Ding Li +6

Program or process is an integral part of almost every IT/OT system. Can we trust the identity/ID (e.g., executable name) of the program? To avoid detection, malware may disguise i…

cs.DB2018★ 67 cited

Privacy Preserving Utility Mining: A Survey

Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +2

In big data era, the collected data usually contains rich information and hidden knowledge. Utility-oriented pattern mining and analytics have shown a powerful ability to explore t…

cs.SE2018

Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Yao Wan, Zhou Zhao, Min Yang +4

Code summarization provides a high level natural language description of the function performed by code, as it can benefit the software maintenance, code categorization and retriev…