Personalized Interest Sustainability Modeling for Sequential POI Recommendation. - Zewen Long; Liang Wang 056; Qiang Liu 006; Shu Wu (CIKM, 2023)

Uncovering Neural Scaling Laws in Molecular Representation Learning. - Dingshuo Chen; Yanqiao Zhu 001; Jieyu Zhang 001; Yuanqi Du; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 056 (NeurIPS, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Liang Wang 056; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (CoRR, 2023)

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. - Huanhuan Ma; Weizhi Xu 002; Yifan Wei 001; Liuji Chen; Liang Wang 056; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

Rethinking Graph Masked Autoencoders through Alignment and Uniformity. - Liang Wang 001; Xiang Tao; Qiang Liu 006; Shu Wu; Liang Wang 056 (AAAI, 2024)

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. - Haisong Gong; Weizhi Xu 002; Shu Wu; Qiang Liu 006; Liang Wang 056 (AAAI, 2024)

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. - Yuwei Xia; Ding Wang; Qiang Liu 006; Liang Wang 056; Shu Wu; Xiaoyu Zhang 002 (ACL (Findings), 2024)

CMG: A Causality-enhanced Multi-view Graph Model for Stock Trend Prediction. - Xi Cheng; Liang Wang 056; Yunan Zeng; Qiang Liu 006 (CIKM, 2024)

DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. - Xin Sun; Liang Wang 056; Qiang Liu 006; Shu Wu; Zilei Wang; Liang Wang 001 (KDD, 2024)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. - Qiang Liu 006; Shaozhen Liu; Xin Sun; Shu Wu; Liang Wang 056 (NeurIPS, 2024)

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. - Xiang Tao; Liang Wang 056; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2024)

Text-Guided Molecule Generation with Diffusion Language Model. - Haisong Gong; Qiang Liu 006; Shu Wu; Liang Wang 056 (CoRR, 2024)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. - Liang Wang 056; Qiang Liu 006; Shaozhen Liu; Xin Sun; Shu Wu; Liang Wang 001 (CoRR, 2024)

GOT4Rec: Graph of Thoughts for Sequential Recommendation. - Zewen Long; Liang Wang 001; Shu Wu; Qiang Liu 006; Liang Wang 056 (CoRR, 2024)

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. - Yuwei Xia; Mengqi Zhang; Qiang Liu 006; Liang Wang 056; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (Pattern Recognit., 2024)

Bi-Level Graph Structure Learning for Next POI Recommendation. - Liang Wang 056; Shu Wu; Qiang Liu 006; Yanqiao Zhu 001; Xiang Tao; Mengdi Zhang 002; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. - Liang Wang 056; Shaozhen Liu; Yu Rong 001; Deli Zhao; Qiang Liu 006; Shu Wu; Liang Wang 001 (ICLR, 2025)

Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey. - Zhixun Li; Bin Cao; Rui Jiao; Liang Wang 056; Ding Wang; Yang Liu 003; Dingshuo Chen; Jia Li 009; Qiang Liu 006; Yu Rong 001; Liang Wang 001; Tong-yi Zhang; et al. (CoRR, 2025)

DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models. - Liang Wang 001; Yu Rong 001; Tingyang Xu; Zhenyi Zhong; Zhiyuan Liu; Pengju Wang; Deli Zhao; Qiang Liu 006; Shu Wu; Liang Wang 056 (CoRR, 2025)