Yu Wang is an Assistant Professor in the School of Computer and Data Sciences at the University of Oregon. Before that, he received his Ph.D. in the Computer Science Department at Vanderbilt University.

📢📢📢 Recruiting Ph.D. students and interns! I am actively seeking highly motivated students for Ph.D. or Research intern positions. Please feel free to email me your CV, transcripts, and brief descriptions about why you want to work with me if you are interested!

See this for the comprehensive information in Post1 and Post2

Research Interests:

• Data Mining and Machine Learning
• LLM + Graph-structured Data
• Generative Graph Models
• Spatial and Temporal Graph Machine Learning
• LLM-powered Agent Planning, Reasoning, Collaboration, and Social Simulation
• Graph AI/ML Applications: Information Retrieval/Chemistry/Infrastructure

Email: yuwang@uoregon.edu. Find me on Github, Twitter, Linkedin, and Google Scholar

News

🐍-2025

• [01] Our paper 📚 "Demystifying the Power of Large Language Models in Graph Generation" has been accepted at NAACL'25 Findings!
• [01] Our paper 📚 Large Generative Graph Models has been accepted at ICLR 25!

🐲-2024

• [12] Thrilled to receive the outstanding reviewer award at ADS-Track, ECML-PKDD!
• [12] Our paper 📚 Reliable RAG on KG has been accepted at AAAI 25!
• [12] Give a talk on "Towards Well-Rounded GraphRAG" at the LoG Seattle meetup at the University of Washington!
• [11] Our tutorial 📚 Empowering Retrieval-augmented Generation with Graph-structured Knowledge has been accepted at SDM2025!
• [10] Give a talk at the Welcome to Grad School seminar at the University of Oregon!
• [10] Our paper 📚 Imbalance Edge Classification is accepted at WSDM2024!
• [10] Invited to give a talk at the online machine learning seminar at Vanderbilt University!
• [09] Our paper 📚 Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking is accepted at NeurIPS2024!
• [08] Invited to give a talk at the online webinar at the University of North Texas!
• [08] Our paper 📚 A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications is accepted at IEEE TKDE!
• [07] Our paper 📚 Topo-RAG has been accepted at CIKM'24, see you in Boise!
• [07] Our tutorial 📚 Data-quality-aware Graph Machine Learning has been accepted at CIKM'24, see you in Boise!
• [06] Our paper Large Graph Generative Model with Text2Graph Demo are online now. Feel free to play with it!
• [06] Serve as PC member at AAAI 2025 and WSDM 2025!
• [05] Serve as reviewer at NeurIPS 2024 Research/Dataset Benchmark Track and AAAI ICWSM 2024!
• [05] New preprint Augmenting Textual Generation via Topology Aware Retrieval is available online!
• [05] My collaborated paper with The Home Depot Knowledge Graph for Session Recommendation has been selected as the Spotlight Presentation at Industrial Track!
• [05] Invited to give a keynote talk at the Workshop of Large Language Models for Graph Learning at WWW'24!
• [04] Our survey Recommendation diversity/fairness has been accepted at TIST!
• [04] Slides of our SDM'24 Tutorial on Data Quality-Aware Graph Machine Learning is available!
• [04] Honored to receive the Best Doctoral Forum Poster Runner-ups at SDM'24!
• [04] Invited to give a keynote talk at the workshop of Data Science for Smart Manufacturing and Healthcare at SDM'24
• [03] Our paper on KG for Session Recommendation has been selected as the Oral Presentation at WWW'24 Industrial Track!
• [02] Thrilled to receive 2023-2024 Vanderbilt Outstanding Doctoral Student Award!
• [02] Invited to give talks at the University of Oregon, Memphis and Arizona!
• [02] Invited to serve as PC member at KDD'24 and ECMLPKDD'24!
• [02] Our survey paper on Fairness-aware GNN has been accepted at TKDD'24, thanks to all collaborators!
• [02] 🛒🛒🛒 Our paper on Knowledge Graph for Session Recommendation has been accepted at WWW'24 Industrial Track, thanks to all collaborators and gift funding from The Home Depot!
• [01] 👫👫👫 Our paper on multi-embeddings for a fair recommendation has been accepted at WWW'24, congratulations to Yuying, and also thanks to all collaborators and support from Visa Research!
• [01] 🍻🍻🍻 My first author paper on Topological Perspective for GNNs' Link Prediction has been accepted at ICLR'24, thanks to all collaborators and support from Snap!
• [01] Invited to give a virtual talk on Topology-aware Retrieval Augmented Generation (Topo-RAG) in LoG Meetup at the University of Notre Dame!

🐰-2023

• [12] 🎉🎉🎉Honored to receive the Best Paper Award for our paper 📰 Knowledge Graph Prompting for LLMs at GLFrontiers Workshop in Neurips'23, thanks all collaborators from Adobe!
• [12] Two papers 📰 Knowledge Graph Prompting for LLMs and 👫 Fair Dating Recommendation have been accepted at AAAI'24!
• [12] Glad that I have successfully passed my qualification exam 📈!
• [11] Our tutorial 📚 Data-quality-aware Graph Machine Learning has been accepted at SDM'24 Tutorial, see you in Houston!
• [10] Our paper KG-based Prompting for LLMs has been accepted at Neurips'GLFrontiers workshop Oral presentation 📣, see you in New Orleans!
• [09] Preprint survey on Fairness in GNNs is available now!
• [09] Preprint paper on KG-based Prompting for LLMs is available now!
• [09] Invited to serve as PC for SDM24!
• [08] Invited to serve as the reviewer for LOG24!
• [08] Invited to serve as PC for WSDM24 and AAAI24!
• [07] Preprint survey Recommendation diversity/fairness is available now!
• [07] Preprint survey Privacy in GNNs is available now!
• [05] Thrilled to receive 2023 Graduate Leadership Anchor Awards Research Branch!
• [04] AI for Science preprint Expert Knowledge for Drug Discovery is available online!
• [03] Invited to serve as a reviewer for JOCO/TKDE/TNNLS!
• [02] Invited to serve as a subreviewer for ICWSM’23!
• [02] Invited to serve as a PC member for MLoG@WSDM’23!
• [01] Thrilled to receive the American Bureau of Shipping Scholarship Award. Thank you, Tyler and our CS Department, for the nomination!
• [01] Collaboration-aware GNNs is accepted at WWW’23!
• [01] Invited to serve as PC member for both Research and Applied Track of KDD’23!
• [01] Invited to serve as the Reviewer for DAMI!

🐯-2022

• [12] Our paper Bayesian Reconstruction of Infrastructure Networks is available now!
• [12] Our paper Degree-related Bias in Link Prediction is accepted at ICDMW 22!
• [12] Excited to join Adobe as a Ph.D. research intern for Summer 23!
• [12] Invited to serve as the reviewer for TNNLS!
• [12] Present a poster at LoG'22!
• [11] Serve as two session chairs at ICDM'22!
• [11] Presented Demystify the Degree-related Bias in Recommender Systems at ICDM’22 MLoG workshop
• [11] Invited to serve as the Reviewer for DAMI!
• [11] Our extended abstract Topological-enhanced GNNs for Recommender Systems was accepted at Learning on Graphs (LOG) conference!
• [11] Two papers accepted at AAAI’23, one for fair explanation and the other for molecular graph kernel representation, congratulations Yuying and Lance!
• [10] Awarded the student travel award for attending ICDM’22
• [09] Invited to serve as the Sub-reviewer for AAAI’23
• [09] Invited to serve as PC member for WSDM’23!
• [09] Invited to serve as the Sub-reviewer for WSDM’23!
• [08] GoG for Imbalanced Graph Classification is accepted by CIKM'22!
• [07] Collaboration-aware GNNs for Recommender Systems is available.
• [06] Invited to serve as the sub-reviewer for NeurIPS22
• [05] Our paper Sensitive Leakage in GNNs is accepted at KDD’22!
• [05] Our paper Structural Explanation of Bias in GNNs is accepted at KDD'22
• [05] Our paper ChemicalX is accepted at KDD'22 and corresponding open-source library is available here
• [05] Thrilled to start my summer research scientist internship at The Home Depot!
• [05] Invited to serve as the Web Chair for the Machine Learning on Graphs (MLoG) workshop at ICDM’22!
• [04] Honored to win Vanderbilt’s C.F.Chen Best Paper Award! Extremely appreciate the help from my advisor Dr. Derr!
• [04] Poster presentation at SDM’22 Doctoral Forum!
• [04] Awarded the SDM’22 travel award!
• [04] Invited to serve as PC member for KDD’22!
• [04] Invited to serve as Reviewer for TKDE!
• [03] Invited to serve as the sub-reviewer for KDD’22!
• [02] Preprint ChemicalX: A Deep Learning Library for Drug Pair Scoring, really appreciate the guidance of Dr. Rozemberczki from AstraZeneca!
• [02] Our paper Imbalanced/Biased Graph Learning is accepted at WSDM'22!
• [02] Invited to serve as the Web Chair for Machine Learning on Graphs (MLoG) workshop at WSDM’22!
• [01] Our book chapter SSL for GNNs is available in the book Graph Neural Networks: Foundations, Frontiers, and Applications.
• [01] Awarded NSF Student Travel Award to attend doctoral forum for WSDM2022!

Before 🐮-2021

• [12/2021] Preprint GoG for Imbalanced Graph Learning!
• [11/2021] Our work Generating Synthetic Systems of Interdependent Critical Infrastructure Networks has been accepted to IEEE System Journal!
• [11/2021] Invited to serve as sub-reviewer for TheWebConf2022
• [10/2021] Preprint Distance-wise Prototypical GNNs for Imbalanced Node Classification!
• [10/2021] Invited to serve as sub-reviewer for SDM2022
• [08/2021] Serving as the session chair at KDD2021!
• [08/2021] Serving as sub-reviewer for WSDM2022!
• [08/2021] Invited to serve as PC member for AAAI2021!
• [08/2021] Our work Tree Decomposed Graph Neural Network is accepted by CIKM 2021!
• [06/2021] Preprint SSL for GNNs.
• [03/2021] Student Travel Award and Poster presentation at SDM'21 Doctoral Forum!
• [02/2021] Excited to Join NDS group supervised by Dr. Tyler Derr
• [01/2021] Awarded free registration and volunteer position at IJCAI'20!
• [11/2020] Our work A Data-Integration Analysis on Road Emissions and Traffic Patterns wins the Smoky Mountain Data Challenge!