Harry Shomer

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I’m a tenure-track Assistant Professor in the Department of Computer Science & Engineering (CSE) at the University of Texas at Arlington. Before that, I earned my PhD in CSE from Michigan State University in 2025 under Dr. Jiliang Tang and my B.S in CS at CUNY – Brooklyn College in 2019. My work has been published at top conference including NeurIPS, ICLR, KDD, EMNLP, TheWebConf, ACL, and CIKM. I have received multiple awards and honors including the INNS Doctoral Dissertation Runner-up Award, UT Rising STARs award, NRT-IMPACTS fellowship, and top reviewer awards at ICML’25/26 and NeurIPS’25.

My research has focused on data mining and machine learning, with a focus on machine learning on graphs. Some of the topics in this area that I’m currently interested in, include: graph generation, link prediction, graph foundation models, and graph RAG.

News

Jul 11, 2026 One paper accepted by SDM’26! [pdf]
Jun 03, 2026 I received the INNS Doctoral Dissertation Runner-up Award
May 17, 2026 One paper accepted by KDD’26! [pdf]
May 11, 2026 One REU project “Understanding and Enhancing Inductive Link Predictors on Graphs” got selected for departmental support. Thank you CSE@UTA and the CRA UR2PhD program.
Mar 11, 2026 New preprint - “Are Expressive Encoders Necessary for Discrete Graph Generation?” [pdf]
Jan 12, 2026 One paper accepted by TheWebConf! [pdf]
Nov 07, 2025 We will be giving a tutorial on “Democratizing RAGs with Structured Knowledge” at WSDM’26
Oct 13, 2025 New preprint on a unified framework for retrieval+generation on graphs [pdf]

Selected Publications

  1. KDD’26
    RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
    Haoyu Han, Li Ma, Yu Wang, and 8 more authors
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
    PDF
  2. EMNLP’25
    Empowering GraphRAG with Knowledge Filtering and Integration
    Kai Guo, Harry Shomer, Shenglai Zeng, and 3 more authors
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
    PDF
  3. NeurIPS’23
    Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
    Harry Shomer*, Juanhui Li*, Haitao Mao, and 5 more authors
    In Advances in Neural Information Processing Systems, 2023
    PDF