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[ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
Gradient gating (ICLR 2023)
[CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".
Source code accompanying the paper "Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings" published in DLG-AAAI’23
ISI 7th Summer School Project on implementing 2-layer GCN on CORA, CiteSeer, PubMed datasets, using PyTorch, and analyzing Oversmoothing by going deep upto 1024 layers
Complete codebase and datasets for "revisiting oversmoothing in deep gcns"
Exploring and visualizing limitations of message-passing paradigm for GNNs. 📉