A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. - Fan Zhou 002; Xovee Xu; Ce Li 003; Goce Trajcevski; Ting Zhong; Kunpeng Zhang 001 (CoRR, 2020)

Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction. - Ce Li 003; Fan Zhou 002; Xucheng Luo; Goce Trajcevski (GLOBECOM, 2021)

HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment. - Fan Zhou 002; Ce Li 003; Xovee Xu; Leyuan Liu 002; Goce Trajcevski (GLOBECOM, 2021)

Rumor Detection on Social Media with Event Augmentations. - Zhenyu He 008; Ce Li 003; Fan Zhou 002; Yi Yang 042 (SIGIR, 2021)

Uncertainty-aware network alignment. - Fan Zhou 002; Ce Li 003; Zijing Wen; Ting Zhong; Goce Trajcevski; Ashfaq Khokhar 001 (Int. J. Intell. Syst., 2021)

CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases. - Weifeng Zhang; Ting Zhong; Ce Li 003; Kunpeng Zhang 001; Fan Zhou 002 (INFOCOM, 2022)

Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption. - Andi Zang; Xiaofeng Zhu 004; Ce Li 003; Fan Zhou 002; Goce Trajcevski (MDM, 2022)

Heterogeneous dynamical academic network for learning scientific impact propagation. - Xovee Xu; Ting Zhong; Ce Li 003; Goce Trajcevski; Fan Zhou 002 (Knowl. Based Syst., 2022)

Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. - Ce Li 003; Rongpei Hong; Xovee Xu; Goce Trajcevski; Fan Zhou 002 (CIKM, 2023)

Geo-Awareness of Learnt Citations Prediction for Scientific Publications (Demo Paper). - Ce Li 003; Will Postler; Ian Johnson; Paul Brinkmann; Evan Gossling; Bailey Gorlewski; Goce Trajcevski (LocalRec@SIGSPATIAL, 2023)