• Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang. Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.[paper]
• Changmao Li, Jeffrey Flanigan. Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers.[paper]
• Jin Guo, Zhen Han, su zhou, Jiliang Li, Volker Tresp, Yuyi Wang. Continuous Temporal Graph Networks for Event-Based Graph Data.[paper]
• Woo Suk Choi, Yu-Jung Heo, Dharani Punithan, Byoung-Tak Zhang. Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models.[paper]
• Merieme Bouhandi, Emmanuel Morin, Thierry Hamon. Graph Neural Networks for Adapting Off-the-shelf General Domain Language Models to Low-Resource Specialised Domains.[paper]
• Adyasha Maharana, Mohit Bansal. GraDA: Graph Generative Data Augmentation for Commonsense Reasoning.[paper]
• Irene Li, Aosong Feng, Hao Wu, Tianxiao Li, Toyotaro Suzumura, Ruihai Dong. LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification.[paper]
• Zhenyun Deng, Yonghua Zhu, Qianqian Qi, Michael Witbrock, Patricia J. Riddle. Explicit Graph Reasoning Fusing Knowledge and Contextual Information for Multi-hop Question Answering.[paper]