1 code implementation • 23 Jun 2021 • Qian Li, Hao Peng, JianXin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
Our approach leverages knowledge of the already extracted arguments of the same sentence to determine the role of arguments that would be difficult to decide individually.
1 code implementation • 20 Jan 2021 • Qingyun Sun, JianXin Li, Hao Peng, Jia Wu, Yuanxing Ning, Phillip S. Yu, Lifang He
Graph representation learning has attracted increasing research attention.
1 code implementation • 9 Jun 2019 • Hao Peng, Jian-Xin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu
In this paper, we design an event meta-schema to characterize the semantic relatedness of social events and build an event-based heterogeneous information network (HIN) integrating information from external knowledge base, and propose a novel Pair-wise Popularity Graph Convolutional Network (PP-GCN) based fine-grained social event categorization model.
no code implementations • 11 Nov 2018 • Hao Peng, Jian-Xin Li, Qiran Gong, Senzhang Wang, Yuanxing Ning, Philip S. Yu
Different from previous convolutional neural networks on graphs, we first design a motif-matching guided subgraph normalization method to capture neighborhood information.