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Khan, Arijit
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1

User-friendly, Interactive, and Configurable Explanations f..:

, In: Companion of the 2024 International Conference on Management of Data,
Chen, Tingyang ; Qiu, Dazhuo ; Wu, Yinghui... - p. 512-515 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Synergies Between Graph Data Management and Machine Learnin..:

, In: 2024 IEEE 40th International Conference on Data Engineering (ICDE),
Khan, Arijit - p. 5655-5656 , 2024
Link: https://doi.org/10.1109/..
 
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3

View-based Explanations for Graph Neural Networks (Extended..:

, In: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW),
Chen, Tingyang ; Qiu, Dazhuo ; Wu, Yinghui... - p. 1-2 , 2024
Link: https://doi.org/10.1109/..
 
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4

Generating Robust Counterfactual Witnesses for Graph Neural..:

, In: 2024 IEEE 40th International Conference on Data Engineering (ICDE),
Qiu, Dazhuo ; Wang, Mengying ; Khan, Arijit. - p. 3351-3363 , 2024
Link: https://doi.org/10.1109/..
 
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5

Most Probable Densest Subgraphs:

, In: 2023 IEEE 39th International Conference on Data Engineering (ICDE),
Saha, Arkaprava ; Ke, Xiangyu ; Khan, Arijit. - p. 1447-1460 , 2023
Link: https://doi.org/10.1109/..
 
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6

Graph Mining and Machine Learning for Shader Codes Analysis..:

, In: Complex Networks and Their Applications XI; Studies in Computational Intelligence,
Zhao, Lin ; Khan, Arijit ; Luo, Robby. - p. 426-439 , 2023
Link: https://doi.org/10.1007/..
 
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7

A Demonstration of Interpretability Methods for Graph Neura..:

, In: Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA),
Bonabi Mobaraki, Ehsan ; Khan, Arijit - p. 1-5 , 2023
Link: https://dl.acm.org/doi/1..
 
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8

Interpretability Methods for Graph Neural Networks:

, In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA),
Khan, Arijit ; Mobaraki, Ehsan B. - p. 1-4 , 2023
Link: https://doi.org/10.1109/..
 
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9

Voting-based Opinion Maximization:

, In: 2023 IEEE 39th International Conference on Data Engineering (ICDE),
Saha, Arkaprava ; Ke, Xiangyu ; Khan, Arijit. - p. 544-557 , 2023
Link: https://doi.org/10.1109/..
 
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10

ShaderNet : graph-based shader code analysis to accelera..:

, In: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA),
Zhao, Lin ; Khan, Arijit ; Luo, Robby - p. 1-5 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Online Updates of Knowledge Graph Embedding:

, In: Complex Networks & Their Applications X; Studies in Computational Intelligence,
Fei, Luo ; Wu, Tianxing ; Khan, Arijit - p. 523-535 , 2022
Link: https://doi.org/10.1007/..
 
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12

Approximate and Interactive Processing of Aggregate Queries..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Wang, Yuxiang ; Khan, Arijit ; Xu, Xiaoliang... - p. 5034-5038 , 2022
Link: https://dl.acm.org/doi/1..
 
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13

Aggregate Queries on Knowledge Graphs: Fast Approximation w..:

, In: 2022 IEEE 38th International Conference on Data Engineering (ICDE),
Wang, Yuxiang ; Khan, Arijit ; Xu, Xiaoliang... - p. 2914-2927 , 2022
Link: https://doi.org/10.1109/..
 
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14

Graph-based Management and Mining of Blockchain Data:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Khan, Arijit ; Akcora, Cuneyt Gurcan - p. 5140-5143 , 2022
Link: https://dl.acm.org/doi/1..
 
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15

Graph Analysis of the Ethereum Blockchain Data: A Survey of..:

, In: 2022 IEEE International Conference on Blockchain (Blockchain),
Khan, Arijit - p. 250-257 , 2022
Link: https://doi.org/10.1109/..
 
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