CRUX team at #CIKM2022!Congratulations on our demo paper: CRUX: Crowdsourced Materials Science Resource and Workflow Exploration (dl.acm.org/doi/10.1145/35…) 🍻🎉🎊 Yinghui Wu, Alp Sehirlioglu Electroceramics CWRU, @MandyWMY_ Sheng(Patrick) Guan Yiyang.Bian

Happy #NationalSTEMDay from the Case School of Engineering!

Our paper GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs is accepted by #ICDE2023! Congrats to Sheng Sheng(Patrick) Guan and other co-authors Yinghui Wu, Hanchao and @MandyWMY_ !🎉🎉🎉

Here, at long last, settle down in our new office!

Happy New Year from CWRU! Let’s celebrate the past year by reflecting on our Instagram #Top9of2022 📸 We look forward to everything 2023 has to offer the CWRU community 🤩

Our another paper, "Fair Group Summarization with Graph Patterns", has been accepted by #ICDE2023! Thanks for the guidance from Yinghui Wu! Congrats to Hanchao and other co-authors Sheng(Patrick) Guan, @MandyWMY_, and Qi Song ! ✌️🍻🎉

Database Group at #ICDE2023! We have three papers accepted this round! Yinghui Yinghui Wu received Best Reviewer Award(Research Track). This is his second best reviewer award. Congrats! 🎉🎉🎉

Our accepted papers: 1. Fair Group Summarization with Graph Patterns, 2. GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs, 3. Inconsistency Detection with Temporal Graph Functional Dependencies. Feel free to contact if you are interested in these!🤗

Our new paper entitled "Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation". Using spatial & temporal coherence to address missingness. doi.org/10.1145/3588730 Yinghui Wu Yangxin Fan RaymondWieser Xuanji Yu Laura Bruckman

Yangxin Yangxin Fan is presenting “Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation” in #SIGMOD2023. Feel free to contact him and other co-authors if you are interested! 🤗 ACM SIGMOD SDLE Research Center Yinghui Wu Roger H. French Xuanji Yu

Our full paper “Selecting Top-K Data Science Models by Example Dataset” is accepted by ACM CIKM 2023! Thanks for Yinghui Wu ’s guidance and congrats to Mengying Wang , Sheng(Patrick) Guan, Hanchao, Yiyang.Bian, Haolai(Anthony)Che, Abhishek, and Alp Sehirlioglu Electroceramics CWRU ! 🎉🍻🎆#CIKM2023

Excited to contribute to ICDD National Institute of Standards and Technology workshop on Autonomous Methodologies for Accelerating X-ray Measurements. Thanks to U.S. National Science Foundation for funding our research on crux-project.github.io with Yinghui Wu CWRU Database Group . CWRU Engineering Case Western Reserve

I will be in ACM CIKM 2023 to present our work about “Selecting Top-k Data Science Models by Example Dataset”!dl.acm.org/doi/10.1145/35… #CIKM2023

Our paper ''View-based Explanations for Graph Neural Networks'' by Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, and Yunjun Gao has been accepted at ACM SIGMOD/PODS #SIGMOD2024 #SIGMOD24 #GraphMachineLearning #GraphDataManagement #DatabaseViews #ExplainableAI.

Our demo paper “GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models” is accepted by #ICDE2024! 🎊🎉🙌Congrats to Escanord (Duy) Le, Kris and Mengying Wang , special thanks to Yinghui Wu! 🍻 IEEE ICDE Conference

Congrats Yangxin Fan and Yinghui Wu for this new paper collaborating with SDLE Research Center ! 🍻🎉👏

Great collaboration with Arijit K and Dazhuo Qiu! We will have follow-up work on GNN Explanation. Stay tuned!

Group BBQ in Fall! 🍁🔥🍢🍻