Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Xie Jiaqing"'
Recent advances in Graph Neural Networks (GNNs) and Graph Transformers (GTs) have been driven by innovations in architectures and Positional Encodings (PEs), which are critical for augmenting node features and capturing graph topology. PEs are essent
Externí odkaz:
http://arxiv.org/abs/2411.12732
In recent years, deep learning has revolutionized the field of protein science, enabling advancements in predicting protein properties, structural folding and interactions. This paper presents DeepProtein, a comprehensive and user-friendly deep learn
Externí odkaz:
http://arxiv.org/abs/2410.02023
With the constraint of a no regret follower, will the players in a two-player Stackelberg game still reach Stackelberg equilibrium? We first show when the follower strategy is either reward-average or transform-reward-average, the two players can alw
Externí odkaz:
http://arxiv.org/abs/2408.14086
Autor:
Xie, Jiaqing, Chi, Ziheng
Publikováno v:
In Proceedings of the 1st Workshop on Language + Molecules (L+M 2024), pages 10 20, Bangkok, Thailand. Association for Computational Linguistics
Pretrained language models (LMs) showcase significant capabilities in processing molecular text, while concurrently, message passing neural networks (MPNNs) demonstrate resilience and versatility in the domain of molecular science. Despite these adva
Externí odkaz:
http://arxiv.org/abs/2405.08334
Current child face generators are restricted by the limited size of the available datasets. In addition, feature selection can prove to be a significant challenge, especially due to the large amount of features that need to be trained for. To manage
Externí odkaz:
http://arxiv.org/abs/2301.08849
Autor:
Xie, Jiaqing, Ying, Rex
Structural features are important features in a geometrical graph. Although there are some correlation analysis of features based on covariance, there is no relevant research on structural feature correlation analysis with graph neural networks. In t
Externí odkaz:
http://arxiv.org/abs/2106.13061
Autor:
Pang, Haoran, Xie, Jiaqing, Meng, Xiaoyu, Sun, Ruqian, Chen, Jun, Guo, Chengli, Zhou, Tianfeng
Publikováno v:
In Journal of Food Engineering March 2024 364
Cancer is a primary cause of human death, but discovering drugs and tailoring cancer therapies are expensive and time-consuming. We seek to facilitate the discovery of new drugs and treatment strategies for cancer using variational autoencoders (VAEs
Externí odkaz:
http://arxiv.org/abs/2008.09763
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