News

Aug 27, 2025 LPFormer was just merged into PyTorch Geometric. Check it out here!
Aug 21, 2025 One paper accepted by EMNLP (main)! [pdf]
Jul 17, 2025 New preprint on using data augmentation to improve link prediction generalization on OOD samples [pdf]
Jul 01, 2025 Our paper “Automated Label Placement on Maps via LLMs” is accepted at the AI4DE Workshop at KDD’25!
May 22, 2025 New preprint on incorporating higher-order information for Temporal LP [pdf]
May 16, 2025 Three papers accepted by KDD’25! (1 research track and 2 in D&B)
Apr 17, 2025 📢 We’re organizing a workshop at KDD’25 - Machine Learning on Graphs in the Era of Generative Artificial Intelligence. Papers are due May 8th!
Apr 10, 2025 Paper accepted by EDM’25!
Mar 19, 2025 New preprint - “Empowering GraphRAG with Knowledge Filtering and Integration” [pdf]
Feb 18, 2025 New preprint studying the effectiveness of RAG vs. GraphRAG [pdf]
Jan 05, 2025 New survey on Retrieval-Augmented Generation (RAG) with Graphs [pdf]
Dec 30, 2024 Our tutorial on Retrieval-Augmented Generation (RAG) for Graph Data is accepted by SDM’25! Stay tuned for a survey to be released soon.
Nov 20, 2024 One paper accepted by LoG’24 [pdf]!
Oct 10, 2024 New preprint on designing an automatic grader using LLMs [pdf]
Sep 22, 2024 Our paper on designing a MoE for link prediction [pdf] is accepted by NeurIPS’24!
Jun 29, 2024 New preprint on constructing newer and better datasets for inductive knowledge graph completion [pdf]
Jun 25, 2024 New preprint studying the generalizability of link predictors [pdf]
Jun 13, 2024 Started my summer internship at HRL Labs!
May 11, 2024 Our paper “LPFormer: An Adaptive Graph Transformer for Link Prediction” is accepted by KDD’24!
Feb 26, 2024 New preprint - “Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
Feb 13, 2024 New preprint on MoE for link prediction - “Mixture of Link Predictors
Jan 17, 2024 Our work “Revisiting Link Prediction: A Data Perspective” is accepted by ICLR’24!
Jan 14, 2024 Traveled to Notre Dame for the Learning on Graphs (LoG) Meetup (Link)!
Oct 25, 2023 New preprint - “LPFormer: An Adaptive Graph Transformer for Link Prediction”
Oct 14, 2023 Our work “Distance-Based Propagation for Efficient Knowledge Graph Reasoning” is accepted by EMNLP’23 (main)!
Sep 30, 2023 New preprint - “Revisiting Link Prediction: A Data Perspective”
Sep 24, 2023 Our work “Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking” is accepted by NeurIPS’23!
Sep 18, 2023 Our work “Learning Representations for Hyper-Relational Knowledge Graphs” is accepted by ASONAM’23!
Aug 19, 2023 “A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data” is accepted by CIKM’23!
Aug 05, 2023 Invited to serve as a PC member for AAAI’24
Jun 24, 2023 New preprint - “Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking”
May 15, 2023 Our work “Are MPNNs Really Helpful for Knowledge Graph Completion?” is accepted by ACL’23!
Jan 20, 2023 Our work “Toward Degree Bias in Embedding-Based Knowledge Graph Completion” is accepted by TheWebConf’23!
Jan 08, 2023 Invited to serve as a PC member for ACL’23
Jan 03, 2023 Invited to serve as a PC member for MLoG@ICDM’22
Aug 22, 2022 New preprint - “Learning Representations for Hyper-Relational Knowledge Graphs”
May 03, 2022 Our work “Detecting Harmful Conversational Content towards LGBTQIA+ Individuals” is accepted by the Queer in AI Workshop @ NAACL’22!
May 03, 2022 New preprint - “Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?”
Jan 03, 2022 Invited to serve as a PC member for MLoG@WSDM’22
Oct 21, 2021 Invited to serve as a PC member for WSDM’22
Apr 01, 2021 Awarded the NRT-Impacts Fellowship.
Aug 20, 2020 Awarded the MSU Engineering Distinguished Fellowship.