Zhaocheng Zhu
Zhaocheng Zhu
Mila - Quebec AI Institute
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Zitiert von
Zitiert von
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang
Transactions of the Association for Computational Linguistics 9, 176-194, 2021
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
C Shi*, M Xu*, Z Zhu, W Zhang, M Zhang, J Tang
International Conference on Learning Representations, 2020
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Z Zhu, S Xu, M Qu, J Tang
The World Wide Web Conference, 2494-2504, 2019
Neural bellman-ford networks: A general graph neural network framework for link prediction
Z Zhu, Z Zhang, LP Xhonneux, J Tang
Advances in Neural Information Processing Systems 34, 29476-29490, 2021
Dialog state tracking with attention-based sequence-to-sequence learning
T Hori, H Wang, C Hori, S Watanabe, B Harsham, J Le Roux, JR Hershey, ...
2016 IEEE Spoken Language Technology Workshop (SLT), 552-558, 2016
Context Aware Document Embedding
Z Zhu, J Hu
arXiv preprint arXiv:1707.01521, 2017
Self-Adaptive Network Pruning
J Chen, Z Zhu, C Li, Y Zhao
International Conference on Neural Information Processing, 175-186, 2019
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Z Zhu, C Shi, Z Zhang, S Liu, M Xu, X Yuan, Y Zhang, J Chen, H Cai, J Lu, ...
arXiv preprint arXiv:2202.08320, 2022
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Z Zhu, M Galkin, Z Zhang, J Tang
International Conference on Machine Learning, 2022
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
M Xu*, Z Zhang*, J Lu, Z Zhu, Y Zhang, C Ma, R Liu, J Tang
arXiv preprint arXiv:2206.02096, 2022
Inductive Logical Query Answering in Knowledge Graphs
M Galkin, Z Zhu, H Ren, J Tang
arXiv preprint arXiv:2210.08008, 2022
Learning to Efficiently Propagate for Reasoning on Knowledge Graphs
Z Zhu*, X Yuan*, LP Xhonneux, M Zhang, M Gazeau, J Tang
arXiv preprint arXiv:2206.04798, 2022
Saliency Supervision: An intuitive and effective approach for pain intensity regression
C Li, Z Zhu, Y Zhao
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
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