Gangda Deng

According to our database, Gangda Deng authored at least 5 papers between 2023 and 2024.

Collaborative distances:

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

2024

Learning Personalized Scoping for Graph Neural Networks under Heterophily.

Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna

CoRR, 2024

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning.

Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

A Unified CPU-GPU Protocol for GNN Training.

Yi-Chien Lin, Gangda Deng, Viktor K. Prasanna

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

PairGNNs: enabling graph neural networks with pair-based view.

Chenhuan Yu, Gangda Deng, Ning Gui

Neural Comput. Appl., February, 2023

An Efficient Distributed Graph Engine for Deep Learning on Graphs.

Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023