[Feb. 2023] Our paper "Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices" got accepted by ICDE 2023. Congratulations, Qiying!
[December 2021] Our paper "Cosine Model Watermarking Against Ensemble Distillation" got accepted by AAAI 2022. Congratulations, Laurent!
[September 2021] Our paper "Robust Counterfactual Explanations on Graph Neural Networks" got accepted by NeurIPS 2021. Congratulations, Mohit!
[July 2021] Our paper "Finding Representative Interpretations on Convolutional Neural Networks" got accepted by ICCV 2021. Congratulations, Cho Ho Lam!
[April 2021] Our paper "Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test" got accepted by VLDB 2021. Congratulations, Zicun!
[December 2020] Our paper "Personalized Cross-Silo Federated Learning on Non-IID Data" got accepted by AAAI 2021. Congratulations, Yutao!
[August 2020] Our paper "Stealthy Targeted Data Poisoning Attack on Knowledge Graphs" got accepted by ICDE 2021. Congratulations, Prithu!
[November 2019] Our paper "Finding Route Hotspots in Large Labeled Networks" got accepted by TKDE 2020. Congratulations, Mingtao!
[August 2019] Our paper "Online Density Bursting Subgraph Detection from Temporal Graphs" got accepted by VLDB 2019, and will roll over to VLDB 2020. Let's meet virtually in Tokyo!
[August 2019] Our paper "Exact and consistent interpretation of piecewise linear models hidden behind APIs: A closed form solution" got accepted by ICDE 2020. Our paper is one of the four papers that are directly accepted in the first round of review. Congratulations, Zicun!
[August 2019] We are holding the First International Workshop on Deep Learning on Graphs: Methods and Applications (DLG'19) in conjunction with ACM SIGKDD 2019. Let's meet in Anchorage!
[May 2019] Our paper "Mining top-k sequential patterns in transaction database graphs" got accepted by WWW 2019. Congratulations to Mingtao Lei!
[May 2019] Our paper "Finding theme communities from database networks" got accepted by VLDB 2019. Let's have fun in LA!