Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization
- Zekai J. Gao
- Niketan Pansare
- et al.
- 2019
- IEEE TKDE
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Efficient and Scalable Integrity Verification of Data and Query Results for Graph Databases
- Muhammad U. Arshad
- Ashish Kundu
- et al.
- 2018
- IEEE TKDE
Pre-processing censored survival data using inverse covariance matrix based calibration
- Bhanukiran Vinzamuri
- Yan Li
- et al.
- 2017
- IEEE TKDE
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning
- Pei Yang
- Hasan Davulcu
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- 2016
- IEEE TKDE
Z- Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals
- Liangtian Wan
- Zhengqiang Fu
- et al.
- 2023
- IEEE TKDE
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks
- Linfeng Song
- Zhiguo Wang
- et al.
- 2022
- IEEE TKDE
CHEER: Rich Model Helps Poor Model via Knowledge Infusion
- Cao Xiao
- Trong Nghia Hoang
- et al.
- 2022
- IEEE TKDE
Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities
- Yuyang Gao
- Tanmoy Chowdhury
- et al.
- 2021
- IEEE TKDE
Learning to Rerank Schema Matches
- Avigdor Gal
- Haggai Roitman
- et al.
- 2021
- IEEE TKDE
Mixture Matrix Approximation for Collaborative Filtering
- Dongsheng Li
- Chao Chen
- et al.
- 2021
- IEEE TKDE