Let invariant rationale discovery inspire graph contrastive learning S Li, X Wang, A Zhang, Y Wu, X He, TS Chua International conference on machine learning, 13052-13065, 2022 | 83 | 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 arXiv preprint arXiv:2310.12798, 2023 | 21 | 2023 |
Llara: Aligning large language models with sequential recommenders J Liao, S Li, Z Yang, J Wu, Y Yuan, X Wang, X He arXiv preprint arXiv:2312.02445, 2023 | 14 | 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 arXiv preprint arXiv:2402.03781, 2024 | 5 | 2024 |
Towards 3D Molecule-Text Interpretation in Language Models S Li, Z Liu, Y Luo, X Wang, X He, K Kawaguchi, TS Chua, Q Tian arXiv preprint arXiv:2401.13923, 2024 | 4 | 2024 |
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis H Cai, X Cai, J Chang, S Li, L Yao, C Wang, Z Gao, Y Li, M Lin, S Yang, ... arXiv preprint arXiv:2403.01976, 2024 | 1 | 2024 |
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer H Cai, X Cai, S Yang, J Wang, L Yao, Z Gao, J Chang, S Li, M Xu, C Wang, ... arXiv preprint arXiv:2403.10301, 2024 | | 2024 |
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 | | 2022 |
Self-attentive Rationalization for Graph Contrastive Learning S Li, Y Luo, A Zhang, X Wang, X He, TS Chua | | 2022 |