Graph Convolutional Neural Networks via Motif-based Attention. - Hao Peng 001; Jianxin Li 002; Qiran Gong; Yuanxing Ning; Lihong Wang (CoRR, 2018)

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. - Hao Peng 001; Jianxin Li 002; Qiran Gong; Yangqiu Song; Yuanxing Ning; Kunfeng Lai; Philip S. Yu (IJCAI, 2019)

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. - Hao Peng 001; Jianxin Li 002; Qiran Gong; Senzhang Wang; Lifang He 001; Bo Li 005; Lihong Wang; Philip S. Yu (CoRR, 2019)

Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. - Hao Peng 001; Jianxin Li 002; Qiran Gong; Yuanxing Ning; Senzhang Wang; Lifang He 001 (AAAI, 2020)

Dynamic network embedding via incremental skip-gram with negative sampling. - Hao Peng 001; Jianxin Li 002; Hao Yan 004; Qiran Gong; Senzhang Wang; Lin Liu; Lihong Wang; Xiang Ren 001 (Sci. China Inf. Sci., 2020)

Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction. - Bowen Du 001; Hao Peng 001; Senzhang Wang; Md. Zakirul Alam Bhuiyan; Lihong Wang; Qiran Gong; Lin Liu; Jing Li (IEEE Trans. Intell. Transp. Syst., 2020)

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. - Hao Peng 001; Jianxin Li 002; Senzhang Wang; Lihong Wang; Qiran Gong; Renyu Yang; Bo Li 005; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2021)