Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yan, Divin"'
Autor:
Liu, Shengchao, Yan, Divin, Du, Weitao, Liu, Weiyang, Li, Zhuoxinran, Guo, Hongyu, Borgs, Christian, Chayes, Jennifer, Anandkumar, Anima
Artificial intelligence models have shown great potential in structure-based drug design, generating ligands with high binding affinities. However, existing models have often overlooked a crucial physical constraint: atoms must maintain a minimum pai
Externí odkaz:
http://arxiv.org/abs/2409.10584
Diffusion models have made significant advances recently in high-quality image synthesis and related tasks. However, diffusion models trained on real-world datasets, which often follow long-tailed distributions, yield inferior fidelity for tail class
Externí odkaz:
http://arxiv.org/abs/2402.10821
In this work, we discover a phenomenon of community bias amplification in graph representation learning, which refers to the exacerbation of performance bias between different classes by graph representation learning. We conduct an in-depth theoretic
Externí odkaz:
http://arxiv.org/abs/2312.04883
Publikováno v:
Thirty-seventh Conference on Neural Information Processing Systems. (NeurIPS 2023)
This paper introduces a new approach to address the issue of class imbalance in graph neural networks (GNNs) for learning on graph-structured data. Our approach integrates imbalanced node classification and Bias-Variance Decomposition, establishing a
Externí odkaz:
http://arxiv.org/abs/2310.18765