Relational Knowledge Prediction via Dynamic Bi-Mode Embedding by Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao

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MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare by Nitish Kumar, Deepak Chaurasiya, Alok Singh, Siddhartha Asthana, Kushagra Agarwal, Ankur Arora

Subjects: “…representation learning…”
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TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism by Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao

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Entity Profiling in Knowledge Graphs by Xiang Zhang, Qingqing Yang, Jinru Ding, Ziyue Wang

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Enzyme sequence optimisation via Gromov-Wasserstein Autoencoders integrating MSA techniques by Xuze Wang, Yangyang Li, Xiancong Hou, Hao Liu

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Parameter Disentanglement for Diverse Representations by Jingxu Wang, Jingda Guo, Ruili Wang, Zhao Zhang, Liyong Fu, Qiaolin Ye

Subjects: “…representation learning…”
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SPIRIT: Structural Entropy Guided Prefix Tuning for Hierarchical Text Classification by He Zhu, Jinxiang Xia, Ruomei Liu, Bowen Deng

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AMT-Net: Adversarial Motion Transfer Network With Disentangled Shape and Pose for Realistic Image Animation by Nega Asebe Teka, Kumie Gedamu Alemu, Maregu Assefa, Feidu Akmel, Zhenting Zhou, Weijie Wu, Jianwen Chen

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Research on recommendation system based on knowledge graph and large language model enhancement by WANG Min, GAO Xiaoying, WANG Shirui, XIANG Yang

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Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions With Multi-Level Representations by Jie Jiang, Shaobo Min, Weijie Kong, Hongfa Wang, Zhifeng Li, Wei Liu

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GraphGIM: rethinking molecular graph contrastive learning via geometry image modeling by Chaoyi Li, Hongxin Xiang, Wenjie Du, Tengfei Ma, Haowen Chen, Xiangxiang Zeng, Lei Xu

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Feature-aware domain invariant representation learning for EEG motor imagery decoding by Jianxiu Li, Jiaxin Shi, Pengda Yu, Xiaokai Yan, Yuting Lin

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EDRMM: enhancing drug recommendation via multi-granularity and multi-attribute representation by Feiyan Liu, Wenhao Wang, Jiawei Zheng, Yibo Xie, Xiaoli Wang, Dongxiang Zhang

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Conceptual semantic enhanced representation learning for event recognition in still images by Ruiqi Luo, Bangchao Wang, Yu Feng, Zaihui Deng, Xian Zhong

Subjects: “…representation learning…”
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Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks by Amarudin Daulay, Kalamullah Ramli, Ruki Harwahyu, Taufik Hidayat, Bernardi Pranggono

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AFF_CGE: Combined Attention-Aware Feature Fusion and Communication Graph Embedding Learning for Detecting Encrypted Malicious Traffic by Junhao Liu, Guolin Shao, Hong Rao, Xiangjun Li, Xuan Huang

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Two-Dimensional Geometry Representation Learning-Based Construction Workers Activities Detection with Flexible IMU Solution by Hainan Chen, Guiwen Liu, Jianjun Li

Subjects: “…geometry representation learning…”
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Multimodal contrastive learning for enhanced explainability in pediatric brain tumor molecular diagnosis by Sara Ketabi, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit Betina Ertl-Wagner, Farzad Khalvati

Subjects: “…Contrastive representation learning…”
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Heterogeneous quantization regularizes spiking neural network activity by Roy Moyal, Kyrus R. Mama, Matthew Einhorn, Ayon Borthakur, Thomas A. Cleland

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Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks by Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Tuiskula, Leena Haataja, Sampsa Vanhatalo, Teemu Roos

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