| 2023 | A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks. | Lutz Oettershagen, Nils M. Kriege, Claude Jordan, Petra Mutzel |
| 2023 | Time-delayed Multivariate Time Series Predictions. | Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu |
| 2023 | Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2023 | Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. | Ziqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu, Irwin King |
| 2023 | CADENCE: Community-Aware Detection of Dynamic Network States. | Maxwell McNeil, Carolina Mattsson, Frank W. Takes, Petko Bogdanov |
| 2023 | GIST: Graph Inference for Structured Time Series. | Boya Ma, Maxwell McNeil, Petko Bogdanov |
| 2023 | Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model. | Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin |
| 2023 | BDA: Bandit-based Transferable AutoAugment. | Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu |
| 2023 | Debiased Imitation Learning for Modulated Temporal Point Processes. | Zhuoqun Li, Zihan Zhou, Mingxuan Sun, Hongteng Xu |
| 2023 | Influence without Authority: Maximizing Information Coverage in Hypergraphs. | Peiyan Li, Honglian Wang, Kai Li, Christian Bhm |
| 2023 | UFNRec: Utilizing False Negative Samples for Sequential Recommendation. | Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu |
| 2023 | STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core. | David Liu, Tina Eliassi-Rad |
| 2023 | MoVAE: A Variational AutoEncoder for Molecular Graph Generation. | Zerun Lin, Yuhan Zhang, Lixin Duan, Le Ou-Yang, Peilin Zhao |
| 2023 | Coarse-to-Fine Open Information Extraction via Relation Oriented Reading Comprehension. | Tingxin Li, Rui Meng, Feng Chen, Jianming Wu |
| 2023 | Optimal Intervention on Weighted Networks via Edge Centrality. | Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang |
| 2023 | Context-aware Domain Adaptation for Time Series Anomaly Detection. | Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu |
| 2023 | Adaptive Precision Training (AdaPT): A dynamic quantized training approach for DNNs. | Lorenz Kummer, Kevin Sidak, Tabea Reichmann, Wilfried N. Gansterer |
| 2023 | Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. | Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat |
| 2023 | It's PageRank All The Way Down: Simplifying Deep Graph Networks. | Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie |
| 2023 | Exact and Heuristic Approaches to Speeding Up the MSM Time Series Distance Computation. | Jana Holznigenkemper, Christian Komusiewicz, Bernhard Seeger |
| 2023 | A General-Purpose Transferable Predictor for Neural Architecture Search. | Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu |
| 2023 | An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. | Jonatan Mller Nuutinen Gttcke, Colin Bellinger, Paula Branco, Arthur Zimek |
| 2023 | Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. | Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2023 | Penalized Non-Linear Canonical Correlation Analysis for Ordinal Data with Application to the International Classification of Functioning, Disability and Health. | Jan Gertheiss, Russell T. Shinohara |
| 2023 | Concept Discovery for Fast Adaptation. | Shengyu Feng, Hanghang Tong |