wang yu

Assistant Professor in Computer Science at University of Oregon

[wang yu @YuWGoGo]

Call for Papers – MLoG-GenAI Workshop@KDD 2025!

Submission deadline: May 30th.
Workshop Website: https://t.co/79SXHJFio0

Submissions of papers currently under review or published in proceedings are also welcome. This workshop is non-archival.

[Fei Wang @feiwang03]

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
https://t.co/S5ayyy74ZV

[Jing Ma @JingMa77838617]

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.

[Yunchao (Lance) Liu (刘运超) @YunchaoLanceLiu]

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 https://t.co/vxzsKFaZNv
A blog explaining the model can be found at https://t.co/xPJtMEdB8N

[TC Record @TCRecord]

In their yearbook chapter, Dr. @HamidKarimiDS, Dr. @TylersNetwork, Dr. @KTTorphy, Dr.@kenfrank20, & Dr. @tangjiliang present a roadmap for how to incorporate online social media in education research projects: https://t.co/UeH8uiQBpk @UStateScience @MSUCollegeofEd

[NeurIPS Conference @NeurIPSConf]

List of Accepted papers for NeurIPS 2022 is now live

https://t.co/qyabIfTg46

[Chaitanya K. Joshi @chaitjo]

The Graph Isomorphism Disease 🤢

https://t.co/kqASWmvyIm

[Yunchao (Lance) Liu (刘运超) @YunchaoLanceLiu]

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: https://t.co/UFxIrK3zOz
blog:
https://t.co/Yex5XJuiJI

[wang yu @YuWGoGo]

@ali_abbssii @SKolouri @CoLLAs_Conf Congratulations！

[wang yu @YuWGoGo]

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: https://t.co/zhyGB010nx

[PyTorch @PyTorch]

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: https://t.co/5Vsn1ykXxA

[wang yu @YuWGoGo]

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 (https://t.co/KNZ1f99CVe) to date! Thank you @TylersNetwork @weisshelter all for the fantastic co-work!

[wang yu @YuWGoGo]

@CocaCola really cool！

[wang yu @YuWGoGo]

@Lakers fighting

[wang yu @YuWGoGo]

@Lakers gogogo！