ACM Transactions on Knowledge Discovery from Data 2025: all accepted papers
- CM-CaFE: A Clustering Method with Causality-based Feature Embedding ↗Xuechun Jing, Fuyuan Cao, Kui Yu et al.
- Competitive-Cooperative Multi-Task Optimization Algorithm with Historical Success Archive ↗Erchao Li, Hongxu Li, Yu Peng
- Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation ↗Taojie Kuang, Qianli Ma, Athanasios V. Vasilakos et al.
- Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision ↗Rui Wang, Yanan Wang, Ziang Li et al.
- Early Detection of Anorexia in Blog Posts Written in English ↗Yaakov HaCohen‐Kerner, Natan Manor, Michael Goldmeier et al.
- Efficient Deep Generative Models for Spatial Networks via Spanning Tree Sampler ↗Xiaojie Guo, Yuanqi Du, Zheng Zhang et al.
- Efficient Distributed Sparse Relative Similarity Learning ↗Dezhong Yao, Sanmu Li, Zhiwei Wang et al.
- Exploring and Exploiting Data Heterogeneity in Recommendation ↗Zimu Wang, Jiashuo Liu, Hao Zou et al.
- Fast Assessment of Eulerian Trails in Graphs with Applications ↗Alessio Conte, Roberto Grossi, Grigorios Loukides et al.
- Flareon: Stealthy All2all Backdoor Injection via Poisoned Augmentation ↗Tianrui Qin, Xuan Wang, Xianghuan He et al.
- Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention ↗Yang Li, Di Wang, José M. F. Moura
- Framework for Variable-Lag Motif Following Relation Inference in Time Series Using Matrix Profile Analysis ↗Naaek Chinpattanakarn, Chainarong Amornbunchornvej
- Fully Dynamic Clustering and Diversity Maximization in Doubling Metrics ↗Paolo Pellizzoni, Andrea Pietracaprina, Geppino Pucci
- Gaussian-Augmented Prototypical Network for Class-Incremental Few-Shot Relation Classification ↗Chenxi Hu, Yifan Hu, Yunxiang Zhao et al.
- Gradual Drift Detection in Process Models Using Conformance Metrics ↗Víctor Gallego-Fontenla, Pedro Gamallo-Fernandez, Juan Carlos Vidal et al.
- Graph Out-of-Distribution Generalization Based on Structural-Entropy-Guided Information Bottleneck ↗Zijun Di, Peng Zheng, Bin Lu et al.
- Hidden Inverted Specific-Class Distance Measure for Nominal Attributes ↗Fang Gong, Tao Lü, Kuayue Liu
- Integrating Heterogeneous Graph Attention Network with Label Propagation for Detecting Spammer Groups on E-Commerce Platforms ↗Xuchao Li, Peng Zhang, Ru Ma et al.
- Integrating Heterogeneous Spatio-Temporal Interactions for Traffic Speed Prediction ↗Xigang Sun, Jiahui Jin, Haojia Zhu et al.
- Intent-aware Recommendation Based on Principal Component Analysis ↗Ai Yan, Chaoqun Li, Liangxiao Jiang
- Interest-Disentangled Contrastive Sample Generation for Recommendation ↗Meng Jian, Ruoxi Li, Meishan Liu et al.
- MCSS: Discovering Consistently Determined Relation in Multi-View Clustering Based on Sample’s Stability ↗Feijiang Li, Xin Liu, Jieting Wang et al.
- Medical Federated Learning with Improved Representation and Personalized Aggregation ↗Qinghe Liu, Mingming Jiang, Pin Wang et al.
- Mining Linguistic Styles in Bilateral Matching: A Contrastive Learning Approach to Reciprocal Recommendation ↗Yue Guan, Yumei He, Ni Huang et al.
- Non-Parallel Story Author-Style Transfer with Disentangled Representation Learning ↗Hongbin Xia, Xiangzhong Meng, Yuan Liu
- Nonlinear Correct and Smooth for Graph-Based Semi-Supervised Learning ↗Yuanhang Shao, Xiuwen Liu
- PHE: Structure and Semantic Enhanced Pre-Training of Graph Neural Networks for Large-Scale Heterogeneous Graphs ↗Shengyin Sun, Chen Ma, Jiehao Chen
- Pattern-Based Graph Classification: Comparison of Quality Measures and Importance of Preprocessing ↗Lucas Potin, Rosa Figueiredo, Vincent Labatut et al.
- ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning ↗Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
- Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone ↗Hui Guan, Umang K Chaudhary, Yuanchao Xu et al.
- Robust Distributed Estimation for Modal Regression under Least Squares Approximation ↗Zhaodu Zhang, Yue Chao, Xuejun Ma
- SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding ↗Jie Min Zhao, Chao Chen, Wanyi Zhang et al.
- SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling ↗Hongyu Shi, Ling Chen, Qian Chen
- Stable Subsampling under Model Misspecification and Covariate Shift ↗Jinjing Yang, Shaohua Xu, Zebin Yang et al.
- Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models ↗Peng Lin, Martin Neil, Norman Fenton
- Subgraph Federated Learning with Information Bottleneck Constrained Generative Learning ↗Shangyang Li, Jiayan Guo
- Time Series Classification with Elasticity Using Augmented Path Signatures ↗Chenyang Wang, Ling Luo, Uwe Aickelin
- Towards Contactless Data-Model Matching ↗Zhiwei Li, Cheng Wang
- Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering ↗Adithya K Moorthy, Jaya Teja Reddy Pochimireddy, V. Vijaya Saradhi et al.
- Towards Recommendation on Good Quality Data Science Solutions ↗Jian Chen, Yile Chen, Zeyi Wen et al.
- Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction ↗Hanchen Yang, Jiannong Cao, Wengen Li et al.
- Towards Sequence Utility Maximization under Utility Occupancy Measure ↗Gengsen Huang, Wensheng Gan, Philip S. Yu
- Tri-perspective Multi-view Classification ↗Xiaojian Ding, Xiaoying Zhu, Fumin Ma
- Understanding User Perspectives for MOOC Quality Evaluation with Hypergraph Learning ↗Lu Jiang, Ruisu Zhang, Yanan Xiao et al.
- Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation ↗Haifeng Sun, Yuanyi Wang, Han Li et al.
- Understanding the Robustness of Deep Recommendation under Adversarial Attacks ↗Fulan Qian, Wenbin Chen, Hai Chen et al.
- Unsupervised EEG Decoding with Frequency-Trend-Based Information Granule Learning ↗Jiyun Liao, Chenglong Dai, Guanghui Li
- Weakly Supervised Open-Domain Aspect-Based Sentiment Analysis ↗Mohna Chakraborty, Adithya Kulkarni, Qi Li
- What Are Anomalies in a Network? ↗Kai Ming Ting, Zhong Zhuang, Guansong Pang et al.
- “A 6 or a 9?”: Ensemble Learning through the Multiplicity of Performant Models and Explanations ↗Gianlucca Lodron Zuin, Adriano Veloso
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