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Zuobai Zhang
Zuobai Zhang
Quebec AI Institute (Mila)
Adresă de e-mail confirmată pe umontreal.ca - Pagina de pornire
Titlu
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Neural bellman-ford networks: A general graph neural network framework for link prediction
Z Zhu, Z Zhang, LP Xhonneux, J Tang
NeurIPS 2021 34, 29476-29490, 2021
3742021
Protein representation learning by geometric structure pretraining
Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano, P Das, ...
ICLR 2023, 2022
253*2022
Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data
Y Zhao*, H Cai*, Z Zhang, J Tang, Y Li
Nature Communications 12 (1), 5261, 2021
1502021
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
NeurIPS 2022 Datasets and Benchmarks Track, 2022
1012022
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Z Zhu, M Galkin, Z Zhang, J Tang
ICML 2022 162, 27454--27478, 2022
922022
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
882022
A Systematic Study of Joint Representation Learning on Protein Sequences and Structures
Z Zhang, C Wang*, M Xu*, V Chenthamarakshan, A Lozano, P Das, ...
ICLR 2023 Machine Learning for Drug Discovery Workshop, 2023
65*2023
Structured multi-task learning for molecular property prediction
S Liu, M Qu, Z Zhang, H Cai, J Tang
AISTATS 2022, 8906-8920, 2022
39*2022
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
Y Zhang*, Z Zhang*, B Zhong, S Misra, J Tang
NeurIPS 2023, 2023
352023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
Z Zhang*, M Xu*, A Lozano, V Chenthamarakshan, P Das, J Tang
NeurIPS 2023 Spotlight, 2023
24*2023
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
J Lu, B Zhong, Z Zhang, J Tang
ICLR 2024, 2023
23*2023
A roadmap for big model
S Yuan, H Zhao, S Zhao, J Leng, Y Liang, X Wang, J Yu, X Lv, Z Shao, ...
arXiv preprint arXiv:2203.14101, 2022
212022
FusionRetro: Molecule Representation Fusion via In-context Reactions for Retrosynthetic Planning
S Liu, Z Tu, M Xu, Z Zhang, P Zhao, J Tang, R Ying, L Lin, D Wu
ICML 2023, 2023
192023
Power-law graphs have minimal scaling of Kemeny constant for random walks
W Xu, Y Sheng, Z Zhang, H Kan, Z Zhang
WWW 2020, 46-56, 2020
162020
Biharmonic distance-based performance metric for second-order noisy consensus networks
Y Yi, B Yang, Z Zhang, Z Zhang, S Patterson
IEEE Transactions on Information Theory 68 (2), 1220-1236, 2021
132021
Pretrainable Geometric Graph Neural Network for Antibody Affinity Maturation
H Cai*, Z Zhang*, M Wang*, B Zhong*, Y Wu, T Ying, J Tang
Nature Communications, 2024
112024
Payel Das, and Jian Tang. Pre-training protein encoder via siamese sequence-structure diffusion trajectory prediction
Z Zhang, M Xu, A Lozano, V Chenthamarakshan
arXiv preprint arXiv:2301.12068, 2023
112023
Effects of Stubbornness on Opinion Dynamics
W Xu, L Zhu, J Guan, Z Zhang, Z Zhang
CIKM 2022, 2321-2330, 2022
112022
Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal
Z Zhang, Z Zhang, G Chen
CIKM 2021, 2657-2667, 2021
112021
Evaluating Representation Learning on the Protein Structure Universe
AR Jamasb*, A Morehead*, CK Joshi*, Z Zhang*, K Didi, SV Mathis, ...
NeurIPS 2023 Workshop on Machine Learning for Structural Biology, 14, 2023
102023
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