Arijit Khan

Orcid: 0000-0002-7312-6312

Affiliations:
  • Aalborg University, Denmark
  • Nanyang Technological University, Singapore
  • ETH Zurich, Switzerland (former)
  • University of California Santa Barbara, CA, USA (PhD)


According to our database1, Arijit Khan authored at least 90 papers between 2008 and 2024.

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Bibliography

2024
View-based Explanations for Graph Neural Networks.
Proc. ACM Manag. Data, February, 2024

Data depth and core-based trend detection on blockchain transaction networks.
Frontiers Blockchain, 2024

LLM+KG@VLDB'24 Workshop Summary.
CoRR, 2024

Machine Learning for Blockchain Data Analysis: Progress and Opportunities.
CoRR, 2024

Data Management and AI for Blockchain Data Analysis: A Round Trip and Opportunities.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Generating Robust Counterfactual Witnesses for Graph Neural Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

View-based Explanations for Graph Neural Networks (Extended Abstract).
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Estimate and Reduce Uncertainty in Uncertain Graphs.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Knowledge Graphs for Responsible AI.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Knowledge Graphs Querying.
SIGMOD Rec., June, 2023

Distributed Graph Embedding with Information-Oriented Random Walks.
Proc. VLDB Endow., 2023

Neighborhood-based Hypergraph Core Decomposition.
Proc. VLDB Endow., 2023

A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull., 2023

Core-based Trend Detection in Blockchain Networks.
CoRR, 2023

Most Probable Densest Subgraphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Voting-based Opinion Maximization.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Demonstration of Interpretability Methods for Graph Neural Networks.
Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2023

Interpretability Methods for Graph Neural Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Reliability Maximization in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Multi-relation Graph Summarization.
ACM Trans. Knowl. Discov. Data, 2022

Efficiently embedding dynamic knowledge graphs.
Knowl. Based Syst., 2022

Automating ETL and Mining of Ethereum Blockchain Network.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

ShaderNet: graph-based shader code analysis to accelerate GPU's performance improvement.
Proceedings of the GRADES-NDA '22: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2022

Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning.
Proceedings of the Complex Networks and Their Applications XI, 2022

Graph-based Management and Mining of Blockchain Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work.
Proceedings of the IEEE International Conference on Blockchain, 2022

2021
Shortest Paths and Centrality in Uncertain Networks.
Proc. VLDB Endow., 2021

Temporal Analysis of the Entire Ethereum Blockchain Network.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Reliability Maximization in Uncertain Graphs (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Online Updates of Knowledge Graph Embedding.
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks.
IEEE Trans. Knowl. Data Eng., 2020

Mining Top-k Pairs of Correlated Subgraphs in a Large Network.
Proc. VLDB Endow., 2020

Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Densely Connected User Community and Location Cluster Search in Location-Based Social Networks.
Proceedings of the 2020 International Conference on Management of Data, 2020

K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Graph Pattern Matching.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs.
Proc. VLDB Endow., 2019

Efficiently Embedding Dynamic Knowledge Graphs.
CoRR, 2019

Budgeted Reliability Maximization in Uncertain Graphs.
CoRR, 2019

Distance-generalized Core Decomposition.
Proceedings of the 2019 International Conference on Management of Data, 2019

Maximizing Contrasting Opinions in Signed Social Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
On Uncertain Graphs
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01860-2, 2018

Conditional Reliability in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2018

A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors.
Proc. VLDB Endow., 2018

Composite Hashing for Data Stream Sketches.
CoRR, 2018

Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach.
CoRR, 2018

On Smart Query Routing: For Distributed Graph Querying with Decoupled Storage.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks.
Proceedings of the 2018 International Conference on Management of Data, 2018

Inf2vec: Latent Representation Model for Social Influence Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Steering Top-k Influencers in Dynamic Graphs via Local Updates.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

An Empirical Analysis on Expressibility of Vertex Centric Graph Processing Paradigm.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Toward query-friendly compression of rapid graph streams.
Soc. Netw. Anal. Min., 2017

Summarizing Static and Dynamic Big Graphs.
Proc. VLDB Endow., 2017

Probabilistic Entity Resolution with Imperfect Crowd.
CoRR, 2017

Vertex-Centric Graph Processing: Good, Bad, and the Ugly.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

Select Your Questions Wisely: For Entity Resolution With Crowd Errors.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Big-Graphs: Querying, Mining, and Beyond.
Proceedings of the Handbook of Big Data Technologies, 2017

2016
Let's Do Smart Routing: For Distributed Graph Querying with Decoupled Storage.
CoRR, 2016

Augmented Sketch: Faster and More Accurate Stream Processing.
Proceedings of the 2016 International Conference on Management of Data, 2016

Revenue maximization by viral marketing: A social network host's perspective.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Towards Querying Uncertain Graphs.
Proceedings of the 21st International Conference on Management of Data, 2016

Towards Time-Discounted Influence Maximization.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Query-friendly compression of graph streams.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Querying Knowledge Graphs by Example Entity Tuples.
IEEE Trans. Knowl. Data Eng., 2015

On Uncertain Graphs Modeling and Queries.
Proc. VLDB Endow., 2015

Top-k representative queries with binary constraints.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Top-k Reliable Edge Colors in Uncertain Graphs.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Systems for Big-Graphs.
Proc. VLDB Endow., 2014

Towards indexing functions: answering scalar product queries.
Proceedings of the International Conference on Management of Data, 2014

Towards a Query-by-Example System for Knowledge Graphs.
Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014

GQBE: Querying knowledge graphs by example entity tuples.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Fast Reliability Search in Uncertain Graphs.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
NeMa: Fast Graph Search with Label Similarity.
Proc. VLDB Endow., 2013

2012
Towards effective partition management for large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Workload characterization and prediction in the cloud: A multiple time series approach.
Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

Emerging Graph Queries in Linked Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Finding Skyline Nodes in Large Networks.
Proceedings of the Workshops Proceedings of the IEEE 28th International Conference on Data Engineering, 2012

Density index and proximity search in large graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Neighborhood based fast graph search in large networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

On Flow Authority Discovery in Social Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2010
Towards proximity pattern mining in large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2008
Undersea wireless sensor network for ocean pollution prevention.
Proceedings of the Third International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2008), 2008


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