PPI-Graphomer: enhanced protein-protein affinity prediction using pretrained and graph transformer models by Jun Xie, Youli Zhang, Ziyang Wang, Xiaocheng Jin, Xiaoli Lu, Shengxiang Ge, Xiaoping Min

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CGTS: graph transformer-based anomaly detection in controller area networks by Xue Zhou, Guihe Qin, Yanhua Liang, Jiaru Song, Wanning Liu, Qingxin Liu

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Dual-branch graph Transformer for node classification by Yong Zhang, Jingjing Song, Eric C.C. Tsang, Yingxing Yu

Subjects: “…graph transformer…”
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GraphEPN: A Deep Learning Framework for B-Cell Epitope Prediction Leveraging Graph Neural Networks by Feng Wang, Xiangwei Dai, Liyan Shen, Shan Chang

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GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

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AmpHGT: expanding prediction of antimicrobial activity in peptides containing non-canonical amino acids using multi-view constrained heterogeneous graph transformer by Yongcheng He, Xu Song, Hongping Wan, Xinghong Zhao

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Med-DGTN: Dynamic Graph Transformer with Adaptive Wavelet Fusion for multi-label medical image classification by Guanyu Zhang, Yan Li, Tingting Wang, Guokun Shi, Li Jin, Zongyun Gu, Zongyun Gu

Subjects: “…Dynamic Graph Transformer…”
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CLMT: graph contrastive learning model for microbe-drug associations prediction with transformer by Liqi Xiao, Junlong Wu, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

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SGTCDA: Prediction of circRNA-drug sensitivity associations with interpretable graph transformers and effective assessment by Hongwei Xia, Caiyue Dong, Xinxing Chen, Zhuoyu Wei, Lichuan Gu, Xiaolei Zhu

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GTMALoc: prediction of miRNA subcellular localization based on graph transformer and multi-head attention mechanism by Xindi Huang, Jipu Jiang, Lifen Shi, Cheng Yan

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GT-STAFG: Graph Transformer with Spatiotemporal Attention Fusion Gate for Epileptic Seizure Detection in Imbalanced EEG Data by Mohamed Sami Nafea, Zool Hilmi Ismail

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Hybrid Learning Model of Global–Local Graph Attention Network and XGBoost for Inferring Origin–Destination Flows by Zhenyu Shan, Fei Yang, Xingzi Shi, Yaping Cui

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Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers by Johan Björkman, Sigrid Lagerroth, Jan Siarov, Filmon Yacob, Noora Neittaanmäki

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SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction by Yansong Wang, Yundong Sun, Baohui Lin, Haotian Zhang, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin, Dongjie Zhu

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Directed Knowledge Graph Embedding Using a Hybrid Architecture of Spatial and Spectral GNNs by Guoqiang Hou, Qiwen Yu, Fan Chen, Guang Chen

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Enhancing Small Language Models for Graph Tasks Through Graph Encoder Integration by Dongryul Oh, Sujin Kang, Heejin Kim, Dongsuk Oh

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An association optimization algorithm for wireless access points based on graph transformation by Wen TAO, Yan SHEN, Xinjie GUAN, Xili WAN

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The Behavior of Tree-Width and Path-Width Under Graph Operations and Graph Transformations by Frank Gurski, Robin Weishaupt

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A graph transformer with optimized attention scores for node classification by Yu Zhang, Xin Li, Yaoqun Xu, Xitong Xu, Zhe Wang

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Graphormer Boosted: Molecular Property Prediction With Enhanced Graph Spatial and Edge Encodings by Sarah A. Fadlallah, Francesc Serratosa, Carme Julia

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