Looking forward to @mlgworkshop at #kdd2023 again this year. Here is our program with great keynotes, panel, and contributed talks.
More info at https://t.co/JKcv27JSHy
cc/@AmazonScience
DLG x @mlgworkshop@kdd_news off to a good start today. Keynote by Neil Shah from @Snapchat in a few minutes. Looking forward to speaking on #graphworld at 2:30. Come by and say hi!
https://t.co/uvK1I23XZf
#KDD2022#KDD
Another exciting #KDD2020 event be sure to tune into today is a keynote presentation by Associate Prof. Le Song! Song's talk, "Applications on Cybersecurity with Graph Neural Networks," will be held from 3:15-3:45 PM PST.
Event Details: https://t.co/oQt22MKv6h
I'm excited to present our work "Decoupled Smoothing in Probabilistic Soft Logic" at @mlgworkshop. Key idea: modeling individuals' identity and preference explicitly in PSL can lead to a better performance in a node classification task. https://t.co/7OTLXF8kaE #MLG2020#KDD2020
I'm excited to present our work "Heterogeneous Threshold Estimation for Linear Threshold Modeling" today at 1:30pm Pacific as a contributed talk for @mlgworkshop! #KDD2020#MLG2020
Terrific lineup of keynote speakers at the joint @mlgworkshop and #DLG workshop at #KDD2020. Also nice to see a fellow William & Mary alum @lingfei_wu as a co-chair! #gotribe