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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

Information-Oriented Random Walks and Pipeline Optimization..:

Fang, Peng ; Li, Zhenli ; Khan, Arijit...
IEEE Transactions on Knowledge and Data Engineering.  , 2024
Link: https://doi.org/10.1109/..
 
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5

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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6

Data depth and core-based trend detection on blockchain tra..:

Zhu, Jason ; Khan, Arijit ; Akcora, Cuneyt Gurcan
Frontiers in Blockchain.  7 (2024)  - p. , 2024
Link: https://doi.org/10.3389/..
 
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7

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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8

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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9

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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10

Knowledge Graphs Querying:

Khan, Arijit
ACM SIGMOD Record.  52 (2023)  2 - p. 18-29 , 2023
Link: https://doi.org/10.1145/..
 
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11

Neighborhood-Based Hypergraph Core Decomposition:

Arafat, Naheed Anjum ; Khan, Arijit ; Rai, Arpit Kumar.
Proceedings of the VLDB Endowment.  16 (2023)  9 - p. 2061-2074 , 2023
Link: https://doi.org/10.14778..
 
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12

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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13

Distributed Graph Embedding with Information-Oriented Rando..:

Fang, Peng ; Khan, Arijit ; Luo, Siqiang...
Proceedings of the VLDB Endowment.  16 (2023)  7 - p. 1643-1656 , 2023
Link: https://doi.org/10.14778..
 
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14

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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15

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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