A Feature-Importance-Aware and Robust Aggregator for GCN. - Li Zhang 131; Haiping Lu (CIKM, 2020)

Hop-Hop Relation-aware Graph Neural Networks. - Li Zhang 131; Yan Ge; Haiping Lu (CoRR, 2020)

Unifying Homophily and Heterophily Network Transformation via Motifs. - Yan Ge; Jun Ma 029; Li Zhang 131; Haiping Lu (CoRR, 2020)

A GNN-based Multi-task Learning Framework for Personalized Video Search. - Li Zhang 131; Lei Shi; Jiashu Zhao; Juan Yang; Tianshu Lyu; Dawei Yin; Haiping Lu (WSDM, 2022)

Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation. - Li Zhang 131; Yan Ge; Jun Ma 029; Jianmo Ni; Haiping Lu (CoRR, 2022)

Node-Feature Convolution for Graph Convolutional Networks. - Li Zhang 131; Heda Song; Nikolaos Aletras; Haiping Lu (Pattern Recognit., 2022)

Trustworthiness-aware knowledge graph representation for recommendation. - Yan Ge; Jun Ma 029; Li Zhang 131; Xiang Li; Haiping Lu (Knowl. Based Syst., 2023)

STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network. - Isabelle Lorge; Li Zhang 131; Xiaowen Dong 001; Janet B. Pierrehumbert (LREC/COLING, 2024)

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. - Zinuo You; Zijian Shi; Hongbo Bo; John Cartlidge; Li Zhang 131; Yan Ge (ICAART (2), 2024)

Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach. - Zinuo You; Zijian Shi; Hongbo Bo; John Cartlidge; Li Zhang 131; Yan Ge (ICAART (Revised Selected Paper, 2), 2024)

RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation. - Xiaohan Yu; Li Zhang 131; Xin Zhao; Yue Wang 086; Zhongrui Ma (CoRR, 2024)

STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network. - Isabelle Lorge; Li Zhang 131; Xiaowen Dong 001; Janet B. Pierrehumbert (CoRR, 2024)

Break the ID-Language Barrier: An Adaption Framework for Sequential Recommendation. - Xiaohan Yu; Li Zhang 131; Xin Zhao; Yue Wang 086 (CoRR, 2024)

Explainable CTR Prediction via LLM Reasoning. - Xiaohan Yu; Li Zhang 131; Chong Chen 001 (WSDM, 2025)

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective. - Ning Zhang; Henry Kenlay; Li Zhang 131; Mihai Cucuringu; Xiaowen Dong 001 (CoRR, 2025)