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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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论文数
28
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期刊论文
28
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期刊论文
28
发表时间
发表时间
IF
被引数
Enhancing Graph Transformers with SNNs and Mutual Information
利用SNN和互信息增强图Transformer
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Wang, Ziyu
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An (ε, δ)-Accurate Level Set Estimation with a Stopping Criterion
(ε, δ)-精确水平集估计及其停止准则
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Ishibashi, Hideaki; Matsui, Kota; Kutsukake, Kentaro; Hino, Hideitsu
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Improving Discriminator Guidance in Diffusion Models
扩散模型中改进判别器引导
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Verine, Alexandre; Inane, Ahmed Mehdi; Le Bronnec, Florian; Negrevergne, Benjamin; Chevaleyre, Yann
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Loss Functions in Diffusion Models: A Comparative Study
扩散模型中的损失函数:一项比较研究
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Kumar, Dibyanshu; Vaeth, Philipp; Gregorova, Magda
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Topology-Aware Hierarchical Graph Diffusion Model for Molecular Graph Generation
拓扑感知分层图扩散模型用于分子图生成
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
He, Rongshen; Zakari, Abubakar; Yang, Qinru; Luo, Jiaqi; Ma, Changsheng
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EM-SEC: Efficient Multi-head Set-Valued Evidential Classification
EM-SEC:高效多头集合值证据分类
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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Bezirganyan, 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
Bkd-FedGNN:联邦图神经网络分类后门攻击的基准
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Liu, Fan; Lai, Siqi; Ning, Yansong; Liu, Hao
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Self-improvement for Computerized Adaptive Testing
计算机化自适应测试中的自我提升
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Rudolph, Yannick; Neubauer, Kai; Brefeld, Ulf
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Localized Heat Kernel for Graph Neural Networks
图神经网络中的局部热核
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Qin, Taoyang; Chen, Ke-Jia; Liu, Zheng
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Distribution Matching for Graph Quantification Under Structural Covariate Shift
结构协变量漂移下的图量化分布匹配
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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Damke, Clemens; Huellermeier, Eyke
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MEAN: Multi-Expert Adaptive Network For Customer Lifetime Value Prediction
MEAN:多专家自适应网络用于客户生命周期价值预测
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Liu, Kelin; Zhou, Yao; Liu, Bin; Su, Hanjing; Chen, Shouzhi
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Diffusion Classifier Guidance for Non-robust Classifiers
非鲁棒分类器的扩散分类器引导
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Vaeth, Philipp; Kumar, Dibyanshu; Paassen, Benjamin; Gregorova, Magda
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Federated Time Series Generation on Feature and Temporally Misaligned Data
联邦时间序列生成在特征和时间错位数据上的应用
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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Soi, 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
FedCluLearn:使用流微簇索引方案进行联邦持续学习
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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Angelova, Milena; Boeva, Veselka; Abghari, Shahrooz; Ickin, Selim; Lan, Xiaoyu
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Safe Screening Rules for Group SLOPE
组SLOPE的安全筛选规则
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Bao, Runxue; Lu, Quanchao; Zhang, Yanfu
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Understanding and Improving Laplacian Positional Encodings for Temporal GNNs
理解和改进时间gnn的拉普拉斯位置编码
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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Galron, Yaniv; Frasca, Fabrizio; Maron, Haggai; Treister, Eran; Eliasof, Moshe
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REDELEX: A Framework for Relational Deep Learning Exploration
REDELEX:关系深度学习探索框架
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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Peleska, Jakub; Sir, Gustav
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Voronoi Diagram Encoded Hashing
Voronoi图编码哈希
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Xu, Yang; Tingi, Kai Ming
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A QUBO Framework for Team Formation
QUBO框架下的团队组建
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Vombatkere, Karan; Lappas, Theodoros; Terzi, Evimaria
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Diffusion Model with Selective Attention for Temporal Knowledge Graph Reasoning
选择性注意力机制的扩散模型用于时序知识图谱推理
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT II
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2026-01-01
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AI
Geng, Rushan; Chen, Ge; Luo, Cuicui
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