دنبال کردن
Kaize Ding
Kaize Ding
Assistant Professor of Stats & Data Science, Northwestern University
ایمیل تأیید شده در northwestern.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Deep anomaly detection on attributed networks‏
K Ding, J Li, R Bhanushali, H Liu‏
Proceedings of the 2019 SIAM international conference on data mining, 594-602, 2019‏
5222019
Next-item recommendation with sequential hypergraphs‏
J Wang, K Ding, L Hong, H Liu, J Caverlee‏
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020‏
2892020
Data augmentation for deep graph learning: A survey‏
K Ding, Z Xu, H Tong, H Liu‏
ACM SIGKDD Explorations Newsletter 24 (2), 61-77, 2022‏
2592022
Be more with less: Hypergraph attention networks for inductive text classification‏
K Ding, J Wang, J Li, D Li, H Liu‏
EMNLP 2020, 2020‏
2562020
Combating disinformation in a social media age‏
K Shu, A Bhattacharjee, F Alatawi, TH Nazer, K Ding, M Karami, H Liu‏
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (6 …, 2020‏
2232020
Interactive anomaly detection on attributed networks‏
K Ding, J Li, H Liu‏
Proceedings of the twelfth ACM international conference on web search and …, 2019‏
1832019
Graph prototypical networks for few-shot learning on attributed networks‏
K Ding, J Wang, J Li, K Shu, C Liu, H Liu‏
Proceedings of the 29th ACM International Conference on Information …, 2020‏
1642020
Few-shot network anomaly detection via cross-network meta-learning‏
K Ding, Q Zhou, H Tong, H Liu‏
Proceedings of the Web Conference 2021, 2448-2456, 2021‏
1382021
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs‏
K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ...‏
arXiv preprint arXiv:2206.10071, 2022‏
121*2022
Session-based recommendation with hypergraph attention networks‏
J Wang, K Ding, Z Zhu, J Caverlee‏
Proceedings of the 2021 SIAM international conference on data mining (SDM …, 2021‏
1072021
Inductive anomaly detection on attributed networks‏
K Ding, J Li, N Agarwal, H Liu‏
Proceedings of the Twenty-Ninth International Conference on International …, 2020‏
992020
Graph few-shot learning with attribute matching‏
N Wang, M Luo, K Ding, L Zhang, J Li, Q Zheng‏
Proceedings of the 29th ACM International Conference on Information …, 2020‏
822020
Adagnn: Graph neural networks with adaptive frequency response filter‏
Y Dong, K Ding, B Jalaian, S Ji, J Li‏
Proceedings of the 30th ACM international conference on information …, 2021‏
742021
Graph few-shot class-incremental learning‏
Z Tan, K Ding, R Guo, H Liu‏
Proceedings of the fifteenth ACM international conference on web search and …, 2022‏
692022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection‏
Y Liu, K Ding, H Liu, S Pan‏
WSDM 2023, 2022‏
622022
Pygod: A python library for graph outlier detection‏
K Liu, Y Dou, X Ding, X Hu, R Zhang, H Peng, L Sun, SY Philip‏
Journal of Machine Learning Research 25 (141), 1-9, 2024‏
572024
Sequential recommendation for cold-start users with meta transitional learning‏
J Wang, K Ding, J Caverlee‏
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021‏
572021
Task-adaptive few-shot node classification‏
S Wang, K Ding, C Zhang, C Chen, J Li‏
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022‏
512022
Few-shot learning on graphs‏
C Zhang, K Ding, J Li, X Zhang, Y Ye, NV Chawla, H Liu‏
arXiv preprint arXiv:2203.09308, 2022‏
512022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning‏
K Ding, J Wang, J Caverlee, H Liu‏
AAAI 2022, 2022‏
482022
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20