| Multi-channel graph neural network for entity alignment Y Cao, Z Liu, C Li, Z Liu, J Li, TS Chua ACL 2019, 2019 | 300 | 2019 |
| Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment Z Liu, Y Cao, L Pan, J Li, Z Liu, TS Chua EMNLP 2020, 2020 | 124 | 2020 |
| Video as Conditional Graph Hierarchy for Multi-Granular Question Answering J Xiao, A Yao, Z Liu, Y Li, W Ji, TS Chua AAAI 2022, 2022 | 101 | 2022 |
| MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter Z Liu, S Li, Y Luo, H Fei, Y Cao, K Kawaguchi, X Wang, TS Chua EMNLP 2023, 2023 | 33 | 2023 |
| Legal Cause Prediction with Inner Descriptions and Outer Hierarchies Z Liu, C Tu, Z Liu, M Sun CCL 2019, 2019 | 15 | 2019 |
| Towards 3D Molecule-Text Interpretation in Language Models S Li*, Z Liu*, Y Luo, X Wang, X He, K Kawaguchi, TS Chua, Q Tian ICLR 2024, 2024 | 14 | 2024 |
| ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction Y Shi, A Zhang, E Zhang, Z Liu, X Wang EMNLP 2023 Findings, 2023 | 13 | 2023 |
| Moltc: Towards molecular relational modeling in language models J Fang, S Zhang, C Wu, Z Liu, S Li, K Wang, W Du, X Wang, X He ACL 2024 Findings, 2024 | 10 | 2024 |
| Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Z Liu, Y Shi, A Zhang, E Zhang, K Kawaguchi, X Wang, TS Chua NeurIPS 2023, 2023 | 7 | 2023 |
| Text-guided diffusion model for 3d molecule generation Y Luo, S Li, Z Liu, J Wu, Z Yang, X He, X Wang, Q Tian | 3 | 2024 |
| ProtT3: Protein-to-Text Generation for Text-based Protein Understanding Z Liu, A Zhang, H Fei, E Zhang, X Wang, K Kawaguchi, TS Chua ACL 2024, 2024 | 2 | 2024 |
| ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining Z Liu*, Y Shi*, A Zhang, S Li, E Zhang, X Wang, K Kawaguchi, TS Chua ACL 2024 Findings, 2024 | 1 | 2024 |
| PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes H Cao, Y Shao, Z Liu, Z Liu, X Tang, Y Yao, Y Li arXiv preprint arXiv:2406.13193, 2024 | | 2024 |
| Training Free Graph Neural Networks for Graph Matching Z Liu, Y Cao, F Feng, X Wang, J Tang, K Kawaguchi, TS Chua arXiv preprint arXiv:2201.05349, 2022 | | 2022 |
| Towards Equivariant Graph Contrastive Learning via Cross-Graph Augmentation Z Liu, A Zhang, Y Sun, Y Li, Y Shi, S Li, X Wang, X He, TS Chua | | |
Tat-Seng ChuaNational University of SingaporeVerified email at comp.nus.edu.sg
