Arijit K

Data management for emerging problems in large graphs. IEEE Senior Member, ACM Distinguished Speaker, Associate Professor @ Bowling Green State University, USA.

[Arijit K @rijitK]

The preprint of our #SIGMOD26 #SIGMOD2026 research paper is available at https://t.co/BLddSkSxgm #LLM #AI4DB #EntityResolution

[Arijit K @rijitK]

paper accepted in #SIGMOD26, #SIGMOD2026: "In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration" - Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, and Yunjun Gao. #LLM #AI4DB #EntityResolution

[ACM SIGMOD/PODS (@sigmodconf.bsky.social) @SIGMODConf]

📣 #SIGMOD2026 Award for Distinguished Reviewers goes to: 📣

Adina Crainiceanu, US Naval Academy
Ahmed Eldawy, University of California, Riverside
Alberto Lerner, Computing Flows GmbH
Alexander Böhm SE
Amr Magdy, University of California Riverside
Andreas Kipf, University of Technology Nuremberg
Andrew Pavlo, Carnegie Mellon University
Antonios Deligiannakis, Technical University of Crete
Anupam Sanghi, IIT Hyderabad
Arijit Khan, Bowling Green State University
Bailu Ding, Microsoft Research
Bernhard Seeger, University of Marburg
Brit Youngmann, Technion - Israel institute of technology
Clemens Lutz, NVIDIA
Denis Hirn, Universität Tübingen
Donatella Firmani, Sapienza University
Enzo Veltri, Università della Basilicata
Eser Kandogan, Megagon Labs
Faisal Nawab, University of California at Irvine
Felix Schuhknecht, U Mainz
Florian Kerschbaum, University of Waterloo
Florin Rusu, UC Merced
Hannes Voigt, Neo4j
Haozhe Zhang, University of Zurich
Hazar Harmouch, University of Amsterdam
Holger Pirk, Imperial College
Ibrahim Sabek, University of Southern California
Ioannis Demertzis, UCSC
Jana Giceva, Technical University of Munich
John Paparrizos, The Ohio State University, USA & Aristotle University of Thessaloniki, Greece
Kaisong H., University of Calgary
Kexin Rong, Georgia Institute of Technology
Konstantinos Karanasos, Meta
Martin Boissier, Hasso Plattner Institute, University of Potsdam
Matthias Weidlich, Hasso Plattner Institute, University of Potsdam
Michael Abebe, Salesforce
Michael Böhlen, University of Zurich
Milos Nikolic, University of Edinburgh
Muhammad El-Hindi, Technische Universität München
Nicolas Bruno, Microsoft
Nikolaos Tziavelis, UC Santa Cruz
Nikos Mamoulis, University of Ioannina
Niv Dayan, University of Toronto
Norman May, SAP SE
Parke Godfrey, York University
Pierre Senellart, ENS, PSL University
Rachel Pottinger, Univ. of British Columbia
Ryan Marcus, University of Pennsylvania
Sebastian Breß, Snowflake
Sebastian Link, University of Auckland
Sepanta Zeighami, University of California, Berkeley
Shaleen Deep, Microsoft Gray Systems Lab
Shantanu Sharma, New Jersey Institute of Technology
Silu Huang, Bytedance
Stavros Sintos, University of Illinois Chicago
Sujaya Maiyya, University of Waterloo
Sven Helmer, University of Zurich
Tiemo Bang, Microsoft - Gray Systems Lab
Tobias Ziegler, Technische Universität München
Torben Bach Pedersen, Aalborg University
Uwe Roehm, The University of Sydney
Varun Pandey, BIFOLD, TU Berlin
Vasiliki Kalavri, Boston University
Viktor Sanca, Oracle
Wook-Shin Han, POSTECH
Xi He, University of Waterloo
Yannis Chronis, ETH Zurich
Yannis Foufoulas, Athena Research Center
Zhouyue Zhao, University at Buffalo
Zichen Zhu, Google

Congratulations to all the awardees! 👏 👏 👏 💐 💐 💐

#sigmodawards

[Yunyao Li @yunyao_li]

The ACM community has shaped my career—now I’m running for Member-at-Large to give back.

If you’re an ACM member, I’d be grateful for your support. In a low-turnout election, every vote really matters.

🗳️ Vote (takes <1 min): https://t.co/xwp7y8YpC1
📄 My candidate statement: https://t.co/BeQgCmMAMJ
⏰ May 22, 16:00 UTC

And if you’re willing to share/RT, that would help a lot.

#ACM #TechCommunity

[Arijit K @rijitK]

new preprint - "A Survey on AI Agents for Data Management: Taxonomy, Progress, and Opportunities" - by Arnob Rahee and Arijit Khan https://t.co/008O2DfCp5

[Arijit K @rijitK]

new preprint- "Large Language Models for Blockchain Security and Analytics: A Survey", - by Collette Eguakun Okundia, @cuneytgurcan Cuneyt Gurcan Akcora, and Arijit Khan https://t.co/LX67mDg1IR

[Arijit K @rijitK]

CFP for the 𝘐𝘯𝘵𝘦𝘳𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘞𝘰𝘳𝘬𝘴𝘩𝘰𝘱 𝘰𝘯 𝘋𝘢𝘵𝘢 𝘔𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘖𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘪𝘦𝘴 𝘪𝘯 𝘉𝘳𝘪𝘯𝘨𝘪𝘯𝘨 𝘈𝘨𝘦𝘯𝘵𝘴 𝘸𝘪𝘵𝘩 𝘎𝘳𝘢𝘱𝘩 𝘋𝘢𝘵𝘢 (𝗔𝗚𝗘𝗡𝗧𝗦+𝗚𝗥𝗔𝗣𝗛), co-located with #VLDB2026 #vldb26 in Boston. https://t.co/T6ZxTt9cVL

[Arijit K @rijitK]

The #WSDM26 #WSDM2026 #GNNExplainers2.0 tutorial website: https://t.co/oe8MY2AYuH

[Arijit K @rijitK]

camera-ready of the #GNNExplainer2.0 tutorial proposal at #WSDM26 https://t.co/Bs3U0EebAi - Arijit Khan, Xiangyu Ke, @yinghuiwu4, and @FrancescoBonchi

[Arijit K @rijitK]

Our tutorial "LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems" by Arijit Khan, Longxu Sun, and Xin Huang accepted at #PAKDD2026 #PAKDD26. Stay tuned for this timely topic! We'll cover #LLM_Graph #LLM_KG #Agent_Graph interactions and synergies.

[Arijit K @rijitK]

priprint made available by my postdoc @DylanMa2018 "Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration" C. Ma, Z. Zhang, A. Khan, S. Schelter, @pgroth. We study: Can blocking help in LLM+RAG based entity matching? https://t.co/o0hurcAN26

[Arijit K @rijitK]

#ICDE2026 #ICDE26 accepted Lightening talk "GNN Explainers 2.0: A Paradigm for User-Oriented, Data-Guided Explanations" by Arijit Khan. Abstract is available here: https://t.co/v2SaTJV5H3 #GNNExplainers #ExplainableAI #GraphML #GraphDataManagement

[Arijit K @rijitK]

Workshop proposal accepted at #VLDB2026 #VLDB26: Agent+Graph: 3rd International Workshop on Data Management Opportunities in Bringing Agents with Graph Data 2026 Workshop. Call for Papers coming soon #GraphData #LLMs #Agents (co-organizing with Yixiang Fan, Tianxing Wu, Da Yan).

[Arijit K @rijitK]

paper accepted at #ICLR2026 #ICLR26 "ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks" by Yu Zhang, Sean Bin Yang, Arijit Khan, and Cuneyt Gurcan Akcora @cuneytgurcan https://t.co/IcSV1SsApc #GNN #ExplainableAI #AdverserialAttack #GraphAI #GraphML

[Arijit K @rijitK]

camera-ready of the #GNNExplainer2.0 tutorial proposal at #WSDM26 https://t.co/Bs3U0EebAi - Arijit Khan, Xiangyu Ke, @yinghuiwu4, and @FrancescoBonchi

[Arijit K @rijitK]

Excited to get our tutorial proposal accepted at ACM #WSDM26 #WSDM2026 conference: "GNN Explainers 2.0: User-centric and Data Driven Insights" - Arijit Khan, Xiangyu Ke, @yinghuiwu4 Yinghui Wu, @FrancescoBonchi Frnacesco Bonchi. Stay tuned! Boise, Idaho, USA. February 22–26, 2026

[Arijit K @rijitK]

Full research paper accepted at the #WebConference (#WWW26 #WWW2026) - Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan and Xiangyu Ke. "SliceGX: Layer-wise GNN Explanation with Model-slicing". preprint - https://t.co/FNmaqIG81e #GraphML #ExplainableAI #ModelSlicing

[Arijit K @rijitK]

Retrieval-augmented Generation (RAG): What is There for Data Management Researchers?- A discussion on research from a panel at LLM+Vector Data Workshop @ IEEE ICDE 2025. By - Arijit Khan, Yuyu Luo, Wenjie Zhang, Minqi Zhou, and Xiaofang Zhou @sigmodrecord
https://t.co/u95nQWuRPn

[Arijit K @rijitK]

Honored and excited to serve as the 𝗘𝗱𝗶𝘁𝗼𝗿-𝗶𝗻-𝗖𝗵𝗶𝗲𝗳 of the 𝗝𝗼𝘂𝗿𝗻𝗮𝗹 𝗧𝗵𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗥𝗲𝘃𝗶𝗲𝘄, together with Professor Guilin Qi. Looking forward to your interesting submissions https://t.co/4wlHpPj5Bq

#AI #Data

[Arijit K @rijitK]

CFP for LLM+Vector Data workshop@ICDE'26: https://t.co/ahpDFfRnBG 👇
Deadline: Jan 15, 2026. [co-organizing w/ @ozsu @jiannwang @DanruiQi Yuyu Luo]

[jiannan wang @jiannwang]

Co-organizing the 2nd Workshop on LLM + Vector Data @ ICDE 2026 with @ozsu @rijitK @DanruiQi Yuyu Luo.

39 days left to submit
Deadline: Jan 15, 2026
🔗 https://t.co/hyNB0Ah6ge

Looking forward to great submissions and discussions in Montréal!

[Arijit K @rijitK]

sharing the preprint of our paper "SQL-to-Text Generation with Weighted-AST Few-Shot Prompting" - Sriom Chakrabarti, @DylanMa2018 Chuangtao Ma, Arijit Khan, and Sebastian Link https://t.co/4SPBM9V7OP to be presented at the Australasian Database Conference 2025 (#ADC25, #ADC2025)

[Arijit K @rijitK]

well done, champions!

[BCCI Women @BCCIWomen]

FRAME IT! 🖼️

The moment #TeamIndia won the ICC Women's Cricket World Cup 2025 🥹

Scorecard ▶ https://t.co/TIbbeE4ViO

#WomenInBlue | #CWC25 | #Final | #INDvSA | @ImHarmanpreet

[BCCI Women @BCCIWomen]

𝐂.𝐇.𝐀.𝐌.𝐏.𝐈.𝐎.𝐍.𝐒 🏆

Congratulations to #TeamIndia on winning their maiden ICC Women's Cricket World Cup 🇮🇳

Take. A. Bow 🙌

#WomenInBlue | #CWC25 | #Final | #INDvSA

[Arijit K @rijitK]

Excited to get our tutorial proposal accepted at ACM #WSDM26 #WSDM2026 conference: "GNN Explainers 2.0: User-centric and Data Driven Insights" - Arijit Khan, Xiangyu Ke, @yinghuiwu4 Yinghui Wu, @FrancescoBonchi Frnacesco Bonchi. Stay tuned! Boise, Idaho, USA. February 22–26, 2026