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Our paper "Automated Embedding Size Search in Deep Recommender Systems" got accepted by the #sigir2020 industry track! Authors include Haochen Liu (Haochen Liu), Xiangyu Zhao (@287341437) (co-first author), Chong Wang, Xiaobing Liu, and Jiliang Tang (Jiliang Tang). DSE Lab @ MSU

Congrats to Xiangyu Zhao as his submission, "Joint Learning to Recommend and Advertise" has been accepted for Poster Presentation at KDD 2020 Applied Science Track and will be published in the KDD2020 proceedings as a full paper. #KDD2020 SIGKDD 2025

Congratulations, Prof. Derr!! 🥳🥳

📣Our paper "Self-supervised Learning on Graphs: Deep Insights and New Direction" is now on arxiv arxiv.org/abs/2006.10141. We explore when/why/how self-supervised learning can be used in GNNs and introduce SelfTask that obtains SOTA performance. Code: github.com/ChandlerBang/S….

Our paper "Linear Convergent Decentralized Optimization with Compression" is online at arxiv.org/pdf/2007.00232… This is the first algorithm achieving linear convergence with communication compression in decentralized optimization. Welcome to check it!

Welcome to check our paper "A Double Residual Compression Algorithm for Efficient Distributed Learning" accepted in AISTATS 2020. proceedings.mlr.press/v108/liu20a.ht…

Congratulations to my advisor! Jiliang Tang

(1/2) We have submitted the book “deep learning on graphs” into Cambridge Press for publication one month ago. The book should be officially out soon as well as its Chinese version with Publishing House of Electronic Industry (电子工业出版社). In KDD tutorial “Deep Graph Learning

Congratulations to DSE Alumni, Tyler Derr Tyler Derr and to his former advisor and the head of the DSE lab, Jiliang Tang Jiliang Tang , for being selected as proceeding chairs of KDD2021. #KDD #KDD2021

Congrats to DSE member Xiangyu Zhao (Xiangyu Zhao), and co-authors Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Hui Liu, Jiliang Tang for their paper, "Online Advertising Impression Strategy in Recommender Systems" being accepted to AAAI 2021. #AAAI2021

Congrats to Xiangyu Zhao (Xiangyu Zhao), Wenqi Fan (Wenqi) and Jiliang Tang (Jiliang Tang) for their workshop titled, "Deep Recommender Systems: Fundamentals and Advances" being accepted at the TheWebConf (WWW) 2021. #TheWebConf2021 @MSU_Egr_News

📣[DeepRobust-0.1.1 Comes Out!] Our PyTorch library for adversarial robustness on graph and image data, DeepRobust, can now be installed from pip! Just try `pip install deeprobust`. For more details, please visit github.com/DSE-MSU/DeepRo…! #MachineLearning #python #DeepLearning

Excited to share that our paper "Linear Convergent Decentralized Optimization with Compression" has been accepted in ICLR 2021 openreview.net/forum?id=84gjU… Thank the reviewers/ACs and our collaborators Jiliang Tang, Ming, Yao Li, Rongrong Wang

Our paper "Multi-type Urban Crime Prediction" got accepted by the #AAAI2022! Authors include Wenqi Fan Wenqi, Hui Liu, and Jiliang Tang Jiliang Tang 🎉🎉🎉

Recently I received the Tao Li award from ICDM2021 with $2000 cash prize. I will use it to purchase 40-50 copies of my book “deep learning on graphs” and donate them to students who cannot afford the book especially those from underrepresented groups.

Welcome to join us!😍 19 Dec 10:25am - 11:05am. 👋

Congrats to Haochen Liu, Xiangyu Zhao and Jiliang Tang for their paper, "Distribution Calibration for Selection Bias Mitigations in Recommendations" for being accepted to The 31st International Web Conference #TWC2022 #WWW2022

Anything relevant to causality and network/graph data is welcomed! Pls consider to submit!

#Callforpapers in applications, methodology, and application research focusing on graph learning for recommendation systems 📢 frontiersin.org/research-topic… #recommendersystems #deeplearning #graphs