Seguir
Baoxu Shi
Baoxu Shi
University of Notre Dame, LinkedIn
Dirección de correo verificada de linkedin.com
Título
Citado por
Citado por
Año
Proje: Embedding projection for knowledge graph completion
B Shi, T Weninger
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
3182017
Open-World Knowledge Graph Completion
B Shi, T Weninger
AAAI 18, 2017
3172017
Discriminative predicate path mining for fact checking in knowledge graphs
B Shi, T Weninger
Knowledge-Based Systems 104, 123-133, 2016
2052016
Neural Tensor Factorization for Temporal Interaction Learning
X Wu, B Shi, Y Dong, C Huang, N Chawla
The 12th ACM International Conference on Web Search and Data Mining., 2018
106*2018
Fact checking in heterogeneous information networks
B Shi, T Weninger
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
1002016
Restful: Resolution-aware forecasting of behavioral time series data
X Wu, B Shi, Y Dong, C Huang, L Faust, NV Chawla
Proceedings of the 27th ACM International Conference on Information and …, 2018
582018
Deep job understanding at linkedin
S Li, B Shi, J Yang, J Yan, S Wang, F Chen, Q He
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
342020
Performance-adaptive sampling strategy towards fast and accurate graph neural networks
M Yoon, T Gervet, B Shi, S Niu, Q He, J Yang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
282021
Salience and Market-aware Skill Extraction for Job Targeting
B Shi, J Yang, F Guo, Q He
KDD 2020, 2020
282020
Constructing knowledge graph for social networks in a deep and holistic way
Q He, J Yang, B Shi
Companion Proceedings of the Web Conference 2020, 307-308, 2020
262020
Who will attend this event together? Event attendance prediction via deep LSTM networks
X Wu, Y Dong, B Shi, A Swami, NV Chawla
Proceedings of the 2018 SIAM International Conference on Data Mining, 180-188, 2018
222018
Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks
B Shi, T Weninger
Data Mining Workshop (ICDMW), 488-495, 2014
162014
Learning to Ask Screening Questions for Job Postings
B Shi, S Li, J Yang, ME Kazdagli, Q He
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
152020
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections
B Shi, J Yang, T Weninger, J How, Q He
IEEE BigData, 2019
82019
Forward backward similarity search in knowledge networks
B Shi, L Yang, T Weninger
Knowledge-Based Systems 119, 20-31, 2017
82017
Similarity-aware network embedding with self-paced learning
C Huang, B Shi, X Zhang, X Wu, NV Chawla
Proceedings of the 28th ACM International Conference on Information and …, 2019
62019
Scalable models for computing hierarchies in information networks
B Shi, T Weninger
Knowledge and Information Systems 49, 687-717, 2016
42016
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
Z Cong, B Shi, S Li, J Yang, Q He, J Pei
IEEE Transactions on Knowledge and Data Engineering, 2023
32023
MFS: A Lightweight Block-Level Local Mirror of Remote File System.
C Zhang, B Shi, X Li
Journal of Software 8 (6), 1459-1470, 2013
32013
Performance-adaptive sampling strategy towards fast and accurate graph neural networks
B Shi, Q He, J Yang, S Niu, Y Minji
US Patent App. 17/399,797, 2023
22023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20