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Jundong Li
Jundong Li
Assistant Professor, University of Virginia
Bestätigte E-Mail-Adresse bei virginia.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Feature Selection: A Data Perspective
J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu
ACM Computing Surveys 50 (6), 94, 2018
36932018
Label Informed Attributed Network Embedding
X Huang, J Li, X Hu
ACM International Conference on Web Search and Data Mining (WSDM), 2017
5642017
A Survey of Learning Causality with Data: Problems and Methods
R Guo, L Cheng, J Li, PR Hahn, H Liu
ACM Computing Surveys, 2020
5302020
Deep Anomaly Detection on Attributed Networks
K Ding, J Li, R Bhanushali, H Liu
SIAM International Conference on Data Mining (SDM), 2019
5202019
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
J Yu, H Yin, J Li, Q Wang, NQV Hung, X Zhang
The Web Conference (WWW), 413-424, 2021
4942021
Attributed Network Embedding for Learning in a Dynamic Environment
J Li, H Dani, X Hu, J Tang, Y Chang, H Liu
ACM International Conference on Information and Knowledge Management (CIKM), 2017
4172017
Accelerated Attributed Network Embedding
X Huang, J Li, X Hu
SIAM International Conference on Data Mining (SDM), 2017
3672017
Self-Supervised Learning for Recommender Systems: A Survey
J Yu, H Yin, X Xia, T Chen, J Li, Z Huang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
3202023
Challenges of Feature Selection for Big Data Analytics
J Li, H Liu
IEEE Intelligent Systems 32 (2), 9-15, 2017
2822017
Line Graph Neural Networks for Link Prediction
L Cai, J Li, J Wang, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 (9 …, 2022
2612022
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
K Ding, J Wang, J Li, D Li, H Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
2552020
Radar: Residual Analysis for Anomaly Detection in Attributed Networks
J Li, H Dani, X Hu, H Liu
International Joint Conference on Artificial Intelligence (IJCAI), 2017
2502017
Multi-Label Informed Feature Selection
L Jian, J Li, K Shu, H Liu
International Joint Conference on Artificial Intelligence (IJCAI), 2016
2382016
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks
Z Peng, M Luo, J Li, H Liu, Q Zheng
International Joint Conference on Artificial Intelligence (IJCAI), 2018
2022018
Enhancing Social Recommendation with Adversarial Graph Convolutional Networks
J Yu, H Yin, J Li, M Gao, Z Huang, L Cui
IEEE Transactions on Knowledge and Data Engineering (TKDE) 34 (8), 3727-3739, 2022
1962022
Interactive Anomaly Detection on Attributed Networks
K Ding, J Li, H Liu
ACM International Conference on Web Search and Data Mining (WSDM), 2019
1832019
Graph Prototypical Networks for Few-Shot Learning on Attributed Networks
K Ding, J Wang, J Li, K Shu, C Liu, H Liu
ACM International Conference on Information & Knowledge Management (CIKM …, 2020
1642020
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
S Feng, H Wan, N Wang, J Li, M Luo
ACM International Conference on Information and Knowledge Management (CIKM …, 2021
1532021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Y Dong, N Liu, J Brian, J Li
The Web Conference (WWW), 2022
1452022
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation
J Yu, M Gao, J Li, H Yin, H Liu
ACM International Conference on Information and Knowledge Management (CIKM), 2018
1442018
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