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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II

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Papers28
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Journal Papers 28
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Enhancing Graph Transformers with SNNs and Mutual Information
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deleteWang, Ziyu
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An (ε, δ)-Accurate Level Set Estimation with a Stopping Criterion
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deleteIshibashi, Hideaki; Matsui, Kota; Kutsukake, Kentaro; Hino, Hideitsu
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Improving Discriminator Guidance in Diffusion Models
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deleteVerine, Alexandre; Inane, Ahmed Mehdi; Le Bronnec, Florian; Negrevergne, Benjamin; Chevaleyre, Yann
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Loss Functions in Diffusion Models: A Comparative Study
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deleteKumar, Dibyanshu; Vaeth, Philipp; Gregorova, Magda
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Topology-Aware Hierarchical Graph Diffusion Model for Molecular Graph Generation
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deleteHe, Rongshen; Zakari, Abubakar; Yang, Qinru; Luo, Jiaqi; Ma, Changsheng
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EM-SEC: Efficient Multi-head Set-Valued Evidential Classification
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deleteBezirganyan, Grigor; Sellami, Sana; Berti-Equille, Laure; Fournier, Sebastien
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Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deleteLiu, Fan; Lai, Siqi; Ning, Yansong; Liu, Hao
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Self-improvement for Computerized Adaptive Testing
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deleteRudolph, Yannick; Neubauer, Kai; Brefeld, Ulf
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Localized Heat Kernel for Graph Neural Networks
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deleteQin, Taoyang; Chen, Ke-Jia; Liu, Zheng
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Distribution Matching for Graph Quantification Under Structural Covariate Shift
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deleteDamke, Clemens; Huellermeier, Eyke
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MEAN: Multi-Expert Adaptive Network For Customer Lifetime Value Prediction
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deleteLiu, Kelin; Zhou, Yao; Liu, Bin; Su, Hanjing; Chen, Shouzhi
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Diffusion Classifier Guidance for Non-robust Classifiers
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deleteVaeth, Philipp; Kumar, Dibyanshu; Paassen, Benjamin; Gregorova, Magda
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Federated Time Series Generation on Feature and Temporally Misaligned Data
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deleteSoi, Zhi Wen; Fan, Chenrui; Shankar, Aditya; Malan, Abel; Chen, Lydia Y.
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FedCluLearn: Federated Continual Learning Using Stream Micro-cluster Indexing Scheme
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deleteAngelova, Milena; Boeva, Veselka; Abghari, Shahrooz; Ickin, Selim; Lan, Xiaoyu
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Safe Screening Rules for Group SLOPE
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deleteBao, Runxue; Lu, Quanchao; Zhang, Yanfu
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Understanding and Improving Laplacian Positional Encodings for Temporal GNNs
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deleteGalron, Yaniv; Frasca, Fabrizio; Maron, Haggai; Treister, Eran; Eliasof, Moshe
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REDELEX: A Framework for Relational Deep Learning Exploration
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deletePeleska, Jakub; Sir, Gustav
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Voronoi Diagram Encoded Hashing
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deleteXu, Yang; Tingi, Kai Ming
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A QUBO Framework for Team Formation
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deleteVombatkere, Karan; Lappas, Theodoros; Terzi, Evimaria
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Diffusion Model with Selective Attention for Temporal Knowledge Graph Reasoning
deleteMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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deleteGeng, Rushan; Chen, Ge; Luo, Cuicui
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