Assistant Professor in Computer Science at University of Oregon

Eugene, Oregon
Joined April 2018
Call for Papers – MLoG-GenAI Workshop@KDD 2025! Submission deadline: May 30th. Workshop Website: mlgraphworkshop.github.io Submissions of papers currently under review or published in proceedings are also welcome. This workshop is non-archival.
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It is not acceptable to remove KDD from the @CSrankings list. Data mining is a core community in computer science and KDD is the most prestigious conference there. Considering adding a separate DM branch is a great suggestion but definitely not removal github.com/emeryberger/CSran…
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I'm now on the job market for faculty/postdoc positions starting from Fall 2023! I am broadly interested in machine learning (ML) and data mining, especially in causal inference & ML, graph ML, fairness, trustworthiness, and social good. My work has won KDD'22 Best Paper Award.
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Excited to share our new model MolKGNN has been accepted both by #AAAI23 as a full paper and @LogConference as an extended abstract. The preprint is available at shorturl.at/puEQ5 A blog explaining the model can be found at shorturl.at/dnGQ3
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List of Accepted papers for NeurIPS 2022 is now live nips.cc/Conferences/2022/Sch…
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The Graph Isomorphism Disease 🤢 onlinelibrary.wiley.com/doi/…
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Check out our new work: MolKGNN. It extends convolution to molecule representation learning. It features: 1) lightweight chirality calculation 2) conformation-invariance 3) interpretability. #GNN #DrugDiscovery preprint: biorxiv.org/content/10.1101/… blog: medium.com/@YunchaoLanceLiu/…
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Could we leverage neighborhood interactions to determine neighborhood importance? How would GNNs capable of going beyond 1-WL impact recommendation performance? Check out our paper and find the answers: github.com/YuWVandy/CAGCN
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wang yu retweeted
ChemicalX is a PyTorch and TorchDrug based #deeplearning library for drug pair scoring which predicts drug interactions, polypharmacy side effects and possible synergies, in both a biological and chemical context. Learn more at: github.com/AstraZeneca/chemi…
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Have limited labeled data but still want to use GNNs? Check out our book chapter about leveraging SSL for GNNs. It has been published in the most comprehensive GNN book (graph-neural-networks.github…) to date! Thank you @TylersNetwork @weisshelter all for the fantastic co-work!
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