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会议文集


文集名AAAI Technical Tracks (Constraint Satisfaction and Optimization; Data Mining & Knowledge Management I)
会议名39th AAAI Conference on Artificial Intelligence (AAAI-25), 37th Conference on Innovative Applications of Artificial Intelligence (IAAI-25), 15th Symposium on Educational Advances in Artificial Intelligence (EAAI-25)
中译名《第三十九届AAAI人工智能会议，第三十七届人工智能创新应用会议，第十五届人工智能教育进展讨论会，卷11-2》
机构Association for the Advancement of Artificial Intelligence (AAAI)
会议日期25 February - 4 March 2025
会议地点Philadelphia, Pennsylvania, USA
出版年2025
馆藏号358195


题名作者出版年
Modeling Latent Non-Linear Dynamical System over Time SeriesRen Fujiwara; Yasuko Matsubara; Yasushi Sakurai2025
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking SystemFeng Gao; Xin Zhou; Yinning Shao; Yue Wu; Jiahua Gao; Yujian Ren; Fengyang Qi; Ruochen Deng; Jie Liu2025
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload PredictionMohan Gao; Kexin Xu; Xiaofeng Gao; Tengwei Cai; Haoyuan Ge2025
Responsive Dynamic Graph Disentanglement for Metro Flow ForecastingQiang Gao; Zizheng Wang; Li Huang; Goce Trajcevski; Guisong Liu; Xueqin Chen2025
Mixed-Curvature Multi-Modal Knowledge Graph CompletionYuxiao Gao; Fuwei Zhang; Zhao Zhang; Xiaoshuang Min; Fuzhen Zhuang2025
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain RecommendationChendi Ge; Xin Wang; Ziwei Zhang; Yijian Qin; Hong Chen; Haiyang Wu; Yang Zhang; Yuekui Yang; Wenwu Zhu2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior RecommendationShuwei Gong; Yuting Liu; Yizhou Dang; Guibing Guo; Jianzhe Zhao; Xingwei Wang2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data StreamsBrandon Gower-Winter; Georg Krempl; Sergey Dragomiretskiy; Tineke Jelsma; Arno Siebes2025
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language ModelsWei Guan; Jian Cao; Jianqi Gao; Haiyan Zhao; Shiyou Qian2025
K-ON: Stacking Knowledge On the Head Layer of Large Language ModelLingbing Guo; Yichi Zhang; Zhongpu Bo; Zhuo Chen; Mengshu Sun; Zhiqiang Zhang; Wen Zhang; Huajun Chen2025
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian ExpertsZihao Guo; Qingyun Sun; Haonan Yuan; Xingcheng Fu; Min Zhou; Yisen Gao; Jianxin Li2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation LearningChengkai Han; Jingyuan Wang; Yongyao Wang; Xie Yu; Hao Lin; Chao Li; Junjie Wu2025
Decomposed Spatio-Temporal Mamba for Long-Term Traffic PredictionSicheng He; Junzhong Ji; Minglong Lei2025
MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade PredictionDongsheng Hong; Chao Chen; Xujia Li; Shuhui Wang; Wen Lin; Xiangwen Liao2025
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal RecommendationJun Hu; Bryan Hooi; Bingsheng He; Yinwei Wei2025
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language ModelsZheng Hu; Zhe Li; Ziyun Jiao; Satoshi Nakagawa; Jiawen Deng; Shimin Cai; Tao Zhou; Fuji Ren2025
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPsJunjie Huang; Jiarui Qin; Yong Yu; Weinan Zhang2025
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLMYiheng Huang; Xiaowei Mao; Shengnan Guo; Yubin Chen; Junfeng Shen; Tiankuo Li; Youfang Lin; Huaiyu Wan2025
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRecYu-Hsuan Huang; Ling Lo; Hongxia Xie; Hong-Han Shuai; Wen-Huang Cheng2025
Multiplex Graph Representation Learning with Homophily and ConsistencyYudi Huang; Ci Nie; Hongqing He; Yujie Mo; Yonghua Zhu; Guoqiu Wen; Xiaofeng Zhu2025
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