2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Guibin Zhang†, Yanwei Yue†, Kun Wang*, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen* († equal contribution, * corresponding author)

International Conference on Machine Learning (ICML) 2024 Poster

We combine topology-guided pruning and semantic-based pruning, conduct limited training on the original graph to build reliable anchor.And then dynamic sparse training is performed using anchor as semantic and topological benchmarks to obtain better sparse graphs.

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Guibin Zhang†, Yanwei Yue†, Kun Wang*, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen* († equal contribution, * corresponding author)

International Conference on Machine Learning (ICML) 2024 Poster

We combine topology-guided pruning and semantic-based pruning, conduct limited training on the original graph to build reliable anchor.And then dynamic sparse training is performed using anchor as semantic and topological benchmarks to obtain better sparse graphs.

Graph Lottery Ticket Automated
Graph Lottery Ticket Automated

Guibin Zhang†, Kun Wang†, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng*, Yuxuan Liang* († equal contribution, * corresponding author)

International Conference on Learning Representations (ICLR) 2024 Poster

We train the edge learner in the global perspective and learn row-wise thresholds in the node perspective for pruning through trainable edge weights and threshold vectors.It implements an Adaptive,Dynamic,Automatic process to find winning tickets.

Graph Lottery Ticket Automated
Graph Lottery Ticket Automated

Guibin Zhang†, Kun Wang†, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng*, Yuxuan Liang* († equal contribution, * corresponding author)

International Conference on Learning Representations (ICLR) 2024 Poster

We train the edge learner in the global perspective and learn row-wise thresholds in the node perspective for pruning through trainable edge weights and threshold vectors.It implements an Adaptive,Dynamic,Automatic process to find winning tickets.