Publications

• Graph Mining under Data scarcity
  Appan Rakaraddi, Lam Siew Kei, Mahardhika Pratama, and Marcus de Carvalho. accepted in 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024.
• Reinforced Continual Learning for Graphs
  Appan Rakaraddi, Lam Siew Kei, Mahardhika Pratama, and Marcus de Carvalho. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM '22), 2022. Association for Computing Machinery, New York, NY, USA, 1666–1674.
• Autonomous Cross Domain Adaptation Under Extreme Label Scarcity
  Weng, Weiwei, Mahardhika Pratama, Choiru Za’in, Marcus De Carvalho, Rakaraddi Appan, Andri Ashfahani, and Edward Yapp Kien Yee. IEEE Transactions on Neural Networks and Learning Systems, 2022. Association for Computing Machinery, New York, NY, USA, 1666–1674.
• Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach
  A. Rakaraddi and M. Pratama. IEEE International Conference on Big Data (Big Data), 2021, pp. 4945-4954.