Da Sun Handason Tam

According to our database, Da Sun Handason Tam authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision.

Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

CoRR, August, 2025

FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks.

Da Sun Handason Tam, Huanle Xu, Yang Liu, Siyue Xie, Wing Cheong Lau

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2023

GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation.

Siyue Xie, Yiming Li, Da Sun Handason Tam, Xiaxin Liu, Qiufang Ying, Wing Cheong Lau, Dah Ming Chiu, Shou Zhi Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks.

Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels.

Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures.

Da Sun Handason Tam, Siyue Xie, Wing Cheong Lau

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing.

Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph Representation Learning with Adaptive Mixtures.

Da Sun Handason Tam, Siyue Xie, Wing Cheong Lau

Proceedings of the 2021 International Conference on Data Mining, 2021

Temporal Graph Representation Learning for Detecting Anomalies in E-payment Systems.

Yiming Li, Da Sun Handason Tam, Siyue Xie, Xiaxin Liu, Qiufang Ying, Wing Cheong Lau, Dah Ming Chiu, Shou Zhi Chen

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

GTEA: Representation Learning for Temporal Interaction Graphs via Edge Aggregation.

Yiming Li, Da Sun Handason Tam, Siyue Xie, Xiaxin Liu, Qiufang Ying, Wing Cheong Lau, Dah Ming Chiu, Shou Zhi Chen

CoRR, 2020

2019

Identifying Illicit Accounts in Large Scale E-payment Networks - A Graph Representation Learning Approach.

Da Sun Handason Tam, Wing Cheong Lau, Bin Hu, Qiufang Ying, Dah Ming Chiu, Hong Liu

CoRR, 2019

Neural Entropic Estimation: A faster path to mutual information estimation.

Chung Chan, Ali Al-Bashabsheh, Hing Pang Huang, Michael Lim, Da Sun Handason Tam, Chao Zhao

CoRR, 2019

Finding Better Web Communities in Digraphs via Max-Flow Min-Cut.

Chung Chan, Ali Al-Bashabsheh, Da Sun Handason Tam, Chao Zhao

Proceedings of the IEEE International Symposium on Information Theory, 2019