Journal Paper

• Nuttapong Chairatanakul, Xin Liu, Tsuyoshi MURATA. PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding, Information Sciences, Elsevier, Volume 570, pp. 769-794, Sept. 2021.  Official location  
• Sunil Maurya, Liu Xin, Tsuyoshi MURATA. Graph Neural Networks for Fast Node Ranking Approximation, ACM Transactions on Knowledge Discovery from Data, Vol. 15, No. 5, Article No. 78, May 2021.  Official location  
• Hibiki Taguchi, Liu Xin, Tsuyoshi MURATA. Graph Convolutional Networks for Graphs Containing Missing Features, Future Generation Computer Systems, Elsevier, Vol. 117, pp. 155-168, Apr. 2021.  Official location  
• Ruidong Jin, Liu Xin, Tsuyoshi MURATA. Predicting Emergency Medical Service Demand with Bipartite Graph Convolutional Networks, IEEE Access, Vol. 9, pp. 9903-9915, Jan. 2021.  Official location  

International Conference (Reviewed)

• Haoyi Xiu, Xin Liu, Weiming Wang, Kim Kyoung-Sook, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention, The 32nd British Machine Vision Conference, Nov. 2021.
• Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi MURATA. Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph, Findings of the Association for Computational Linguistics (EMNLP 2021), Association for Computational Linguistics, pp. 1504-1517, Nov. 2021.  Official location  
• Jodelet Quentin Magic, Xin Liu, Tsuyoshi MURATA. Balanced Softmax Cross-Entropy for Incremental Learning, The 30th International Conference on Artificial Neural Networks (ICANN 2021), Lecture Notes in Computer Science, Springer, Vol. 12892, Sept. 2021.  Official location  

Other Publication

• Zarina Rakhimberdina, Jodelet Quentin Magic, Xin Liu, Tsuyoshi MURATA. Natural Image Reconstruction from fMRI using Deep Learning: A Survey, Frontiers in Neuroscience, frontiers, Vol. 15, No. 795488, Dec. 2021.  Official location  

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