Novel EDGE encoding method enhances ability to identify genetic interactions. by Molly A Hall, John Wallace, Anastasia M Lucas, Yuki Bradford, Shefali S Verma, Bertram Müller-Myhsok, Kristin Passero, Jiayan Zhou, John McGuigan, Beibei Jiang, Sarah A Pendergrass, Yanfei Zhang, Peggy Peissig, Murray Brilliant, Patrick Sleiman, Hakon Hakonarson, John B Harley, Krzysztof Kiryluk, Kristel Van Steen, Jason H Moore, Marylyn D Ritchie

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Network archaeology: uncovering ancient networks from present-day interactions. by Saket Navlakha, Carl Kingsford

“…Our ability to answer such questions has been limited by the unavailability of ancestral protein-protein interaction (PPI) networks. …”
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Identifying Missing and Spurious Interactions in Directed Networks by Xue Zhang, Chengli Zhao, Xiaojie Wang, Dongyun Yi

“…Recent years, the studies of link prediction have been overwhelmingly emphasizing on undirected networks. Compared with it, how to identify missing and spurious interactions in directed networks has received less attention and still is not well understood. …”
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Detecting genetic interactions with visible neural networks by Arno van Hilten, Federico Melograna, Bowen Fan, Wiro Niessen, Kristel van Steen, Gennady Roshchupkin

“…Neural networks are state-of-the-art predictors in many domains due to their ability to analyze big data and model complex patterns, including non-linear interactions. …”
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Enhancing the functional content of eukaryotic protein interaction networks. by Gaurav Pandey, Sonali Arora, Sahil Manocha, Sean Whalen

“…Protein interaction networks are a promising type of data for studying complex biological systems. …”
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A Cross-Mamba Interaction Network for UAV-to-Satallite Geolocalization by Lingyun Tian, Qiang Shen, Yang Gao, Simiao Wang, Yunan Liu, Zilong Deng

“…Inspired by state-space models (SSMs), which have demonstrated efficacy in modeling long sequences, we propose a pure Mamba-based method called the Cross-Mamba Interaction Network (CMIN) for UAV geolocalization. …”
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CONCERNING THE NETWORKING INTERACTION EXPERIENCE OF TEACHERS AND STUDENTS OF PEDAGOGICAL UNIVERSITY by E. A. Dmitrieva

“…The process of teachers’ training inYaroslavl, in particular preparation of students-biologists at theYaroslavlStatePedagogicalUniversityis reflected. Activity of network pedagogical community of Yaroslavl is considered as a platform for network interaction; the analysis of such platform, use of its resources, and also conversations with subject teachers and students have shown that the given electronic and communication resources cause a great interest for practicing teachers and future experts, however, they not always possess necessary knowledge and abilities concerning its operation.Scientific novelty. …”
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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

“…This setup enabled precise hand and body detection, allowing the drone to navigate and interact effectively. We assessed the system's performance by its ability to accurately recognize gestures in both controlled and complex, cluttered backgrounds. …”
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Association between the attentional network efficiency and change of direction speed ability in young male Indian footballers by Debabrata Chatterjee, Santi Ranjan Dasgupta, Santi Ranjan Dasgupta, Arkadeb Dutta, Arkadeb Dutta

“…Attentional network components and decision-making ability were tested in the participants with computerized Attentional Network Test-Interactions (ANT-I) and choice reaction time (CRT) tasks in the laboratory set-up. …”
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Gene Network Biological Validity Based on Gene-Gene Interaction Relevance by Francisco Gómez-Vela, Norberto Díaz-Díaz

“…Hence, a complete KEGG pathway conversion into a gene association network and a new matching distance based on gene-gene interaction relevance are proposed. …”
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Medical Image Segmentation Network Based on Dual-Encoder Interactive Fusion by Hong Yang, Yong Fan, Ping Yang

“…Hybrid CNN–Transformer networks seek to merge the local feature extraction capabilities of CNNs with the long-range dependency modeling abilities of Transformers, aiming to simultaneously address both local details and global contextual information. …”
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DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data by Yuhang Xia, Zhiwei Wang, Feng Huang, Zhankun Xiong, Yongkang Wang, Minyao Qiu, Wen Zhang

“…In this study, DeepInterAware (deep interaction interface‐aware network) is proposed, a framework dynamically incorporating interaction interface information directly learned from sequence data, along with the inherent specificity information of the sequences. …”
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CINet: A Constraint- and Interaction-Based Network for Remote Sensing Change Detection by Geng Wei, Bingxian Shi, Cheng Wang, Junbo Wang, Xiaolin Zhu

“…Although many deep learning based RSCD models perform well, challenges remain in effectively extracting change information between dual-temporal images and fully leveraging interactions between their feature maps. To address these challenges, a constraint- and interaction-based network (CINet) for RSCD is proposed. …”
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Pedestrian Trajectory Prediction via Window Attention and Spatial Graph Interaction Network by Xiang Gu, Chao Li, Jie Yang, Jing Wang, Qiwei Huang

“…However, the task still faces challenges in modeling long-term dependencies, complex spatial interactions, and multi-scale feature fusion. To address these issues, this paper proposes the WAGIN (Windowed Attention Graph Interaction Network) model. …”
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Putting into practice domain-linear motif interaction predictions for exploration of protein networks. by Katja Luck, Sadek Fournane, Bruno Kieffer, Murielle Masson, Yves Nominé, Gilles Travé

“…Therefore, predictors dealing with protein fragments are promising tools for discovering protein interaction networks but their application to predict binding preferences within networks may be limited.…”
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Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis by Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore, Ting Hu

“…Additionally, the XOR network features triangle network motifs, indicative of higher-order epistatic interactions. …”
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Interactions of factors in self-injuries among enrolled students: a network approach by Yu-Min Zhang, Xiao-Mei Jiang, Ya Xie, Nan Lang, Min-Lu Liang, Pei Zhang, Li-Chen OuYang, Zhang-Wei Lv, Cong-Wei Liu, Li-Ping Zhang, Chun Wang

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Drug–target interaction prediction by integrating heterogeneous information with mutual attention network by Yuanyuan Zhang, Yingdong Wang, Chaoyong Wu, Lingmin Zhan, Aoyi Wang, Caiping Cheng, Jinzhong Zhao, Wuxia Zhang, Jianxin Chen, Peng Li

“…Alternatively, large-scale biological and pharmacological data provide new ways to accelerate drug–target interaction prediction. Methods Here, we propose DrugMAN, a deep learning model for predicting drug–target interaction by integrating multiplex heterogeneous functional networks with a mutual attention network (MAN). …”
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Organic Amendments Enhance Peanut Nodulation by Influencing Interactions Between Rhizobia and Arbuscular Mycorrhizal Fungi in the Peanut Rhizosphere by Wenjing Qin, Guilong Li, Xinyi Chen, Jia Liu

“…Additionally, the ecological importance of rhizobial groups within the network significantly increased. Further analysis of the interaction patterns between different microbial groups revealed that under NPKM treatment, the positive correlation ratio between arbuscular mycorrhizal fungi (AMF) and rhizobia (RPAR) was significantly higher than that in the CK and NPK treatment groups. …”
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Expression Recognition Using Improved AlexNet Network in Robot Intelligent Interactive System by Yifeng Zhao, Deyun Chen

“…Aiming at the insufficient feature extraction in the expression feature extraction stage of traditional convolutional neural network and the misclassification of mislabeled samples, an expression recognition and robot intelligent interaction method using deep learning is proposed. …”
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