---
title: "ACM Transactions on Knowledge Discovery from Data 2025 —"
description: "All 151 papers of ACM Transactions on Knowledge Discovery from Data 2025 · page 2 of 2, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/papers/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/papers/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [ACM Transactions on Knowledge Discovery…](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/) / [2025](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/) / [papers](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/papers/) / page 2

# ACM Transactions on Knowledge Discovery from Data 2025: all accepted papers

151 papers · page 2 of 2 · the most cited first · [← ACM Transactions on Knowledge Discovery from Data 2025](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/)

[← prev](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/papers/) [1](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/papers/) **2**

101. **[CM-CaFE: A Clustering Method with Causality-based Feature Embedding ↗](https://doi.org/10.1145/3717068)**Xuechun Jing, Fuyuan Cao, Kui Yu et al.
102. **[Competitive-Cooperative Multi-Task Optimization Algorithm with Historical Success Archive ↗](https://doi.org/10.1145/3775058)**Erchao Li, Hongxu Li, Yu Peng
103. **[Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation ↗](https://doi.org/10.1145/3779063)**Taojie Kuang, Qianli Ma, Athanasios V. Vasilakos et al.
104. **[Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision ↗](https://doi.org/10.1145/3737881)**Rui Wang, Yanan Wang, Ziang Li et al.
105. **[Early Detection of Anorexia in Blog Posts Written in English ↗](https://doi.org/10.1145/3779415)**Yaakov HaCohen‐Kerner, Natan Manor, Michael Goldmeier et al.
106. **[Efficient Deep Generative Models for Spatial Networks via Spanning Tree Sampler ↗](https://doi.org/10.1145/3774416)**Xiaojie Guo, Yuanqi Du, Zheng Zhang et al.
107. **[Efficient Distributed Sparse Relative Similarity Learning ↗](https://doi.org/10.1145/3712603)**Dezhong Yao, Sanmu Li, Zhiwei Wang et al.
108. **[Exploring and Exploiting Data Heterogeneity in Recommendation ↗](https://doi.org/10.1145/3737290)**Zimu Wang, Jiashuo Liu, Hao Zou et al.
109. **[Fast Assessment of Eulerian Trails in Graphs with Applications ↗](https://doi.org/10.1145/3771997)**Alessio Conte, Roberto Grossi, Grigorios Loukides et al.
110. **[Flareon: Stealthy All2all Backdoor Injection via Poisoned Augmentation ↗](https://doi.org/10.1145/3774648)**Tianrui Qin, Xuan Wang, Xianghuan He et al.
111. **[Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention ↗](https://doi.org/10.1145/3721435)**Yang Li, Di Wang, José M. F. Moura
112. **[Framework for Variable-Lag Motif Following Relation Inference in Time Series Using Matrix Profile Analysis ↗](https://doi.org/10.1145/3744652)**Naaek Chinpattanakarn, Chainarong Amornbunchornvej
113. **[Fully Dynamic Clustering and Diversity Maximization in Doubling Metrics ↗](https://doi.org/10.1145/3727881)**Paolo Pellizzoni, Andrea Pietracaprina, Geppino Pucci
114. **[Gaussian-Augmented Prototypical Network for Class-Incremental Few-Shot Relation Classification ↗](https://doi.org/10.1145/3774420)**Chenxi Hu, Yifan Hu, Yunxiang Zhao et al.
115. **[Gradual Drift Detection in Process Models Using Conformance Metrics ↗](https://doi.org/10.1145/3716169)**Víctor Gallego-Fontenla, Pedro Gamallo-Fernandez, Juan Carlos Vidal et al.
116. **[Graph Out-of-Distribution Generalization Based on Structural-Entropy-Guided Information Bottleneck ↗](https://doi.org/10.1145/3767162)**Zijun Di, Peng Zheng, Bin Lu et al.
117. **[Hidden Inverted Specific-Class Distance Measure for Nominal Attributes ↗](https://doi.org/10.1145/3769293)**Fang Gong, Tao Lü, Kuayue Liu
118. **[Integrating Heterogeneous Graph Attention Network with Label Propagation for Detecting Spammer Groups on E-Commerce Platforms ↗](https://doi.org/10.1145/3749846)**Xuchao Li, Peng Zhang, Ru Ma et al.
119. **[Integrating Heterogeneous Spatio-Temporal Interactions for Traffic Speed Prediction ↗](https://doi.org/10.1145/3783987)**Xigang Sun, Jiahui Jin, Haojia Zhu et al.
120. **[Intent-aware Recommendation Based on Principal Component Analysis ↗](https://doi.org/10.1145/3731761)**Ai Yan, Chaoqun Li, Liangxiao Jiang
121. **[Interest-Disentangled Contrastive Sample Generation for Recommendation ↗](https://doi.org/10.1145/3768160)**Meng Jian, Ruoxi Li, Meishan Liu et al.
122. **[MCSS: Discovering Consistently Determined Relation in Multi-View Clustering Based on Sample’s Stability ↗](https://doi.org/10.1145/3771274)**Feijiang Li, Xin Liu, Jieting Wang et al.
123. **[Medical Federated Learning with Improved Representation and Personalized Aggregation ↗](https://doi.org/10.1145/3737649)**Qinghe Liu, Mingming Jiang, Pin Wang et al.
124. **[Mining Linguistic Styles in Bilateral Matching: A Contrastive Learning Approach to Reciprocal Recommendation ↗](https://doi.org/10.1145/3736418)**Yue Guan, Yumei He, Ni Huang et al.
125. **[Non-Parallel Story Author-Style Transfer with Disentangled Representation Learning ↗](https://doi.org/10.1145/3726870)**Hongbin Xia, Xiangzhong Meng, Yuan Liu
126. **[Nonlinear Correct and Smooth for Graph-Based Semi-Supervised Learning ↗](https://doi.org/10.1145/3712604)**Yuanhang Shao, Xiuwen Liu
127. **[PHE: Structure and Semantic Enhanced Pre-Training of Graph Neural Networks for Large-Scale Heterogeneous Graphs ↗](https://doi.org/10.1145/3772278)**Shengyin Sun, Chen Ma, Jiehao Chen
128. **[Pattern-Based Graph Classification: Comparison of Quality Measures and Importance of Preprocessing ↗](https://doi.org/10.1145/3743143)**Lucas Potin, Rosa Figueiredo, Vincent Labatut et al.
129. **[Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation ↗](https://doi.org/10.1145/3773987)**Yu-Neng Chuang, Cheng–Te Li
130. **[ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning ↗](https://doi.org/10.1145/3766072)**Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
131. **[Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone ↗](https://doi.org/10.1145/3785464)**Hui Guan, Umang K Chaudhary, Yuanchao Xu et al.
132. **[Robust Distributed Estimation for Modal Regression under Least Squares Approximation ↗](https://doi.org/10.1145/3742477)**Zhaodu Zhang, Yue Chao, Xuejun Ma
133. **[SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding ↗](https://doi.org/10.1145/3757921)**Jie Min Zhao, Chao Chen, Wanyi Zhang et al.
134. **[SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling ↗](https://doi.org/10.1145/3773082)**Hongyu Shi, Ling Chen, Qian Chen
135. **[Stable Subsampling under Model Misspecification and Covariate Shift ↗](https://doi.org/10.1145/3769077)**Jinjing Yang, Shaohua Xu, Zebin Yang et al.
136. **[Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models ↗](https://doi.org/10.1145/3714473)**Peng Lin, Martin Neil, Norman Fenton
137. **[Subgraph Federated Learning with Information Bottleneck Constrained Generative Learning ↗](https://doi.org/10.1145/3737879)**Shangyang Li, Jiayan Guo
138. **[Time Series Classification with Elasticity Using Augmented Path Signatures ↗](https://doi.org/10.1145/3715702)**Chenyang Wang, Ling Luo, Uwe Aickelin
139. **[Towards Contactless Data-Model Matching ↗](https://doi.org/10.1145/3774939)**Zhiwei Li, Cheng Wang
140. **[Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering ↗](https://doi.org/10.1145/3770078)**Adithya K Moorthy, Jaya Teja Reddy Pochimireddy, V. Vijaya Saradhi et al.
141. **[Towards Recommendation on Good Quality Data Science Solutions ↗](https://doi.org/10.1145/3746235)**Jian Chen, Yile Chen, Zeyi Wen et al.
142. **[Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction ↗](https://doi.org/10.1145/3769297)**Hanchen Yang, Jiannong Cao, Wengen Li et al.
143. **[Towards Sequence Utility Maximization under Utility Occupancy Measure ↗](https://doi.org/10.1145/3744344)**Gengsen Huang, Wensheng Gan, Philip S. Yu
144. **[Tri-perspective Multi-view Classification ↗](https://doi.org/10.1145/3777462)**Xiaojian Ding, Xiaoying Zhu, Fumin Ma
145. **[Understanding User Perspectives for MOOC Quality Evaluation with Hypergraph Learning ↗](https://doi.org/10.1145/3749845)**Lu Jiang, Ruisu Zhang, Yanan Xiao et al.
146. **[Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation ↗](https://doi.org/10.1145/3742436)**Haifeng Sun, Yuanyi Wang, Han Li et al.
147. **[Understanding the Robustness of Deep Recommendation under Adversarial Attacks ↗](https://doi.org/10.1145/3744570)**Fulan Qian, Wenbin Chen, Hai Chen et al.
148. **[Unsupervised EEG Decoding with Frequency-Trend-Based Information Granule Learning ↗](https://doi.org/10.1145/3777386)**Jiyun Liao, Chenglong Dai, Guanghui Li
149. **[Weakly Supervised Open-Domain Aspect-Based Sentiment Analysis ↗](https://doi.org/10.1145/3747849)**Mohna Chakraborty, Adithya Kulkarni, Qi Li
150. **[What Are Anomalies in a Network? ↗](https://doi.org/10.1145/3723007)**Kai Ming Ting, Zhong Zhuang, Guansong Pang et al.
151. **[“A 6 or a 9?”: Ensemble Learning through the Multiplicity of Performant Models and Explanations ↗](https://doi.org/10.1145/3767735)**Gianlucca Lodron Zuin, Adriano Veloso

[← prev](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/papers/) [1](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/papers/) **2**

- [← back to](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/) — ACM Transactions on Knowledge Discovery from Data 2025