Liang Wang

According to our database, Liang Wang authored at least 19 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models.

Liang Wang, Yu Rong, Tingyang Xu, Zhenyi Zhong, Zhiyuan Liu, Pengju Wang, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang

CoRR, July, 2025

Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey.

Zhixun Li, Bin Cao, Rui Jiao, Liang Wang, Ding Wang, Yang Liu, Dingshuo Chen, Jia Li, Qiang Liu, Yu Rong, Liang Wang, Tong-yi Zhang, Jeffrey Xu Yu

CoRR, May, 2025

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra.

Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Bi-Level Graph Structure Learning for Next POI Recommendation.

Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang

IEEE Trans. Knowl. Data Eng., November, 2024

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning.

Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang

Pattern Recognit., 2024

GOT4Rec: Graph of Thoughts for Sequential Recommendation.

Zewen Long, Liang Wang, Shu Wu, Qiang Liu, Liang Wang

CoRR, 2024

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction.

Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang

CoRR, 2024

Text-Guided Molecule Generation with Diffusion Language Model.

Haisong Gong, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2024

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection.

Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the ACM on Web Conference 2024, 2024

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction.

Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization.

Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CMG: A Causality-enhanced Multi-view Graph Model for Stock Trend Prediction.

Xi Cheng, Liang Wang, Yunan Zeng, Qiang Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting.

Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables.

Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Rethinking Graph Masked Autoencoders through Alignment and Uniformity.

Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification.

Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2023

GSLB: The Graph Structure Learning Benchmark.

Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu

CoRR, 2023

Uncovering Neural Scaling Laws in Molecular Representation Learning.

Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Personalized Interest Sustainability Modeling for Sequential POI Recommendation.

Zewen Long, Liang Wang, Qiang Liu, Shu Wu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023