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• POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning

  Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao

  11509-11517

  2025-04-11

• Contrastive Self-supervised Learning for Graph Classification

  Jiaqi Zeng, Pengtao Xie

  10824-10832

  2021-05-18

• Modular Graph Transformer Networks for Multi-Label Image Classification

  Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le

  9092-9100

  2021-05-18

• SpHMC: Spectral Hamiltonian Monte Carlo

  Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan

  5516-5524

  2019-07-17

• Social Recommendation via Graph-Level Counterfactual Augmentation

  Yinxuan Huang, Ke Liang, Yanyi Huang, Xiang Zeng, Kai Chen, Bin Zhou

  334-342

  2025-04-11

• Matching Node Embeddings for Graph Similarity

  Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis

  2017-02-13

• HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models

  Zhiguang Lu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang

  7600-7608

  2026-03-14

• AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

  Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang

  8892-8900

  2022-06-28

• Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours

  Feiping Nie, Guohao Cai, Xuelong Li

  2017-02-13

• Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract)

  Zhuoming Zheng, Yi Cai, Liuwu Li

  13119-13120

  2022-06-28

• Online Classification Using a Voted RDA Method

  Tianbing Xu, Jianfeng Gao, Lin Xiao, Amelia Regan

  2014-06-21

• Heterogeneous Graph Structure Learning for Graph Neural Networks

  Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye

  4697-4705

  2021-05-18

• GLDL: Graph Label Distribution Learning

  Yufei Jin, Richard Gao, Yi He, Xingquan Zhu

  12965-12974

  2024-03-24

• Risk Based Optimization for Improving Emergency Medical Systems

  Sandhya Saisubramanian, Pradeep Varakantham, Hoong Chuin Lau

  2015-02-10

• Label Attentive Distillation for GNN-Based Graph Classification

  Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu

  8499-8507

  2024-03-24

• Domain Generalization with Vital Phase Augmentation

  Ingyun Lee, Wooju Lee, Hyun Myung

  2892-2900

  2024-03-24

• Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

  Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei

  16433-16441

  2024-03-24

• Data-Efficient and Contact-Rich Manipulation Through Diffusion Augmentation and Vision-Language Models

  Daniel Seita

  39830-39830

  2026-03-14

• M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data

  Tiantong Wang, Yiyang Duan, Haoyu Chen, Tiantong Wu, Wei Yang Bryan Lim

  26471-26479

  2026-03-14

• Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)

  Micheal Abaho, Yousef H. Alfaifi

  22690-22690

  2024-03-24

• Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis

  Dexu Kong, Anping Zhang, Yang Li

  8617-8626

  2024-03-24

• Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis

  Xi Chen, Yan Liu, Han Liu, Jaime Carbonell

  425-430

  2010-07-03

• Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling

  Anthony Tompkins, Fabio Ramos

  2018-04-29

• Classification by Attention: Scene Graph Classification with Prior Knowledge

  Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp

  5025-5033

  2021-05-18

• Interactive Learning Using Manifold Geometry

  Eric Eaton, Gary Holness, Daniel McFarlane

  437-443

  2010-07-03