Abstract is missing.
- MDKE: Multi-level Disentangled Knowledge-Based Embedding for Recommender SystemsHaolin Zhou, Qingmin Liu, Xiaofeng Gao, Guihai Chen. 3-18 [doi]
- 3-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item RecommendationYingpeng Du, Hongzhi Liu 0001, Zhonghai Wu. 19-35 [doi]
- Fully Utilizing Neighbors for Session-Based Recommendation with Graph Neural NetworksXingyu Zhang, Chaofeng Sha. 36-52 [doi]
- Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain RecommendationKe Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu. 53-68 [doi]
- Enhancing Graph Convolution Network for Novel RecommendationXuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, Mi Zhang. 69-84 [doi]
- Knowledge-Enhanced Multi-task Learning for Course RecommendationQimin Ban, Wen Wu, Wenxin Hu, Hui Lin, Wei Zheng, Liang He 0001. 85-101 [doi]
- Learning Social Influence from Network Structure for Recommender SystemsTing Bai, Yanlong Huang, Bin Wu. 102-117 [doi]
- PMAR: Multi-aspect Recommendation Based on Psychological GapLiye Shi, Wen Wu, Yu Ji, Luping Feng, Liang He 0001. 118-133 [doi]
- Meta-path Enhanced Lightweight Graph Neural Network for Social RecommendationHang Miao, Anchen Li, Bo Yang 0002. 134-149 [doi]
- Intention Adaptive Graph Neural Network for Category-Aware Session-Based RecommendationChuan Cui, Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Hanning Gao, Zhihua Wei. 150-165 [doi]
- Multi-view Multi-behavior Contrastive Learning in RecommendationYiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao 0001, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He 0003. 166-182 [doi]
- Joint Locality Preservation and Adaptive Combination for Graph Collaborative FilteringZhiqiang Guo, Chaoyang Wang, Zhi Li, Jianjun Li, Guohui Li 0001. 183-198 [doi]
- Gated Hypergraph Neural Network for Scene-Aware RecommendationTianchi Yang, Luhao Zhang, Chuan Shi, Cheng Yang 0002, Siyong Xu, Ruiyu Fang, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang. 199-215 [doi]
- Hyperbolic Personalized Tag RecommendationWeibin Zhao, Aoran Zhang, Lin Shang 0001, Yonghong Yu, Li Zhang 0013, Can Wang 0004, Jiajun Chen, Hongzhi Yin. 216-231 [doi]
- Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit FeedbackLingzi Zhang, Yong Liu 0020, Xin Zhou, Chunyan Miao, Guoxin Wang 0002, Haihong Tang. 232-247 [doi]
- Multi-behavior Recommendation with Two-Level Graph Attentional NetworksYunhe Wei, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang 0003. 248-255 [doi]
- Collaborative Filtering for Recommendation in Geometric AlgebraLongcan Wu, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang 0003, Ge Yu 0001. 256-263 [doi]
- Graph Neural Networks with Dynamic and Static Representations for Social RecommendationJunfa Lin, Siyuan Chen, Jiahai Wang. 264-271 [doi]
- Toward Paper Recommendation by Jointly Exploiting Diversity and Dynamics in Heterogeneous Information NetworksJie Wang, Jinya Zhou, Zhen Wu, Xigang Sun. 272-280 [doi]
- Enhancing Session-Based Recommendation with Global Context Information and Knowledge GraphXiaohui Zhang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang. 281-288 [doi]
- GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional NetworkYalei Zang, Yi Liu, Weitong Chen, Bohan Li, Aoran Li, Lin Yue, Weihua Ma. 289-297 [doi]
- Deep Graph Mutual Learning for Cross-domain RecommendationYifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang. 298-305 [doi]
- Core Interests Focused Self-attention for Sequential RecommendationZhengyang Ai, Shupeng Wang, Siyu Jia, Shu Guo. 306-314 [doi]
- SAER: Sentiment-Opinion Alignment Explainable RecommendationXiaoning Zong, Yong Liu 0020, Yonghui Xu, Yixin Zhang, Zhiqi Shen 0001, Yonghua Yang, LiZhen Cui. 315-322 [doi]
- Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender SystemsBo Sun, Di Wu, Mingsheng Shang 0001, Yi He 0007. 323-331 [doi]
- GELibRec: Third-Party Libraries Recommendation Using Graph Neural NetworkChengming Zou, Zhenfeng Fan. 332-340 [doi]
- Hierarchical Attention Factorization Machine for CTR PredictionLianjie Long, Yunfei Yin, Faliang Huang. 343-358 [doi]
- MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement FrameworkFangye Wang, Hansu Gu, Dongsheng Li 0002, Tun Lu, Peng Zhang 0060, Ning Gu. 359-374 [doi]
- CaSS: A Channel-Aware Self-supervised Representation Learning Framework for Multivariate Time Series ClassificationYijiang Chen, Xiangdong Zhou, Zhen Xing, Zhidan Liu 0004, Minyang Xu. 375-390 [doi]
- Temporal Knowledge Graph Entity Alignment via Representation LearningXiuting Song, Luyi Bai, Rongke Liu, Han Zhang. 391-406 [doi]
- Similarity-Aware Collaborative Learning for Patient Outcome PredictionFuqiang Yu, LiZhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu. 407-422 [doi]
- Semi-supervised Graph Learning with Few Labeled NodesCong Zhang, Ting Bai, Bin Wu. 423-438 [doi]
- Human Mobility Identification by Deep Behavior Relevant Location RepresentationTao Sun, Fei Wang 0014, Zhao Zhang, Lin Wu, Yongjun Xu. 439-454 [doi]
- Heterogeneous Federated Learning via Grouped Sequential-to-Parallel TrainingShenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu 0001. 455-471 [doi]
- Transportation-Mode Aware Travel Time Estimation via Meta-learningYu Fan, Jiajie Xu 0001, Rui Zhou 0001, Chengfei Liu. 472-488 [doi]
- A Deep Reinforcement Learning Based Dynamic Pricing Algorithm in Ride-HailingBing Shi, Zhi Cao, Yikai Luo. 489-505 [doi]
- Peripheral Instance Augmentation for End-to-End Anomaly Detection Using Weighted Adversarial LearningWeixian Zong, Fang Zhou, Martin Pavlovski, Weining Qian. 506-522 [doi]
- HieNet: Bidirectional Hierarchy Framework for Automated ICD CodingShi Wang, Daniel Tang, Luchen Zhang, Huilin Li, Ding Han. 523-539 [doi]
- Efficient Consensus Motif Discovery of All Lengths in Multiple Time SeriesMingming Zhang, Peng Wang, Wei Wang. 540-555 [doi]
- LiteWSC: A Lightweight Framework for Web-Scale Spectral ClusteringGeping Yang, Sucheng Deng, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao. 556-573 [doi]
- Dual Confidence Learning Network for Open-World Time Series ClassificationJunwei Lv, Ying He 0008, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu. 574-589 [doi]
- Port Container Throughput Prediction Based on Variational AutoEncoderJingze Li, Shengmin Shi, Tongbing Chen, Yu Tian, Yihua Ding, Yiyong Xiao, Weiwei Sun 0008. 590-605 [doi]
- Data Source Selection in Federated Learning: A Submodular Optimization ApproachRuisheng Zhang, Yansheng Wang, Zimu Zhou, Ziyao Ren, Yongxin Tong, Ke Xu 0001. 606-614 [doi]
- MetisRL: A Reinforcement Learning Approach for Dynamic Routing in Data Center NetworksYuanning Gao, Xiaofeng Gao, Guihai Chen. 615-622 [doi]
- CLZT: A Contrastive Learning Based Framework for Zero-Shot Text ClassificationKun Li, Meng Lin, Songlin Hu, Ruixuan Li. 623-630 [doi]
- InDISP: An Interpretable Model for Dynamic Illness Severity PredictionXinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng 0001, Sen Wang 0001. 631-638 [doi]
- Learning Evolving Concepts with Online Class Posterior ProbabilityJunming Shao, Kai Wang, Jianyun Lu, Zhili Qin, Qiming Wangyang, Qinli Yang. 639-647 [doi]
- Robust Dynamic Pricing in Online Markets with Reinforcement LearningBolei Zhang, Fu Xiao. 648-655 [doi]
- Multi-memory Enhanced Separation Network for Indoor Temperature PredictionZhewen Duan, Xiuwen Yi, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng 0004. 656-663 [doi]
- An Interpretable Time Series Classification Approach Based on Feature ClusteringFan Qiao, Peng Wang, Wei Wang, Binjie Wang. 664-672 [doi]
- Generative Adversarial Imitation Learning to Search in Branch-and-Bound AlgorithmsQi Wang, Suzanne V. Blackley, Chunlei Tang. 673-680 [doi]
- A Trace Ratio Maximization Method for Parameter Free Multiple Kernel ClusteringYan Chen, Lei Wang, Liang Du, Lei Duan. 681-688 [doi]
- Supervised Multi-view Latent Space Learning by Jointly Preserving Similarities Across Views and SamplesXiaoyang Li, Martin Pavlovski, Fang Zhou, Qiwen Dong, Weining Qian, Zoran Obradovic. 689-696 [doi]
- Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement LearningBin Fu, Hongzhi Liu 0001, Hui Zhao, Yao Zhu 0002, Yang Song, Tao Zhang 0070, Zhonghai Wu. 697-705 [doi]
- TEALED: A Multi-Step Workload Forecasting Approach Using Time-Sensitive EMD and Auto LSTM Encoder-DecoderXiuqi Huang, Yunlong Cheng, Xiaofeng Gao, Guihai Chen. 706-713 [doi]