| 2022 | Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences. | Meng Liu, Shuiwang Ji |
| 2022 | Automatic Parameter Selection for Non-Redundant Clustering. | Collin Leiber, Dominik Mautz, Claudia Plant, Christian Bhm |
| 2022 | CPTAM: Constituency Parse Tree Aggregation Method. | Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li |
| 2022 | Mining Logical Arithmetic Expressions From Proper Representations. | Eitan Kosman, Ilya Kolchinsky, Assaf Schuster |
| 2022 | Capturing Model Uncertainty with Data Augmentation in Deep Learning. | Wenming Jiang, Ying Zhao, Yihan Wu, Haojia Zuo |
| 2022 | Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. | Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang |
| 2022 | DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks. | Hiroyoshi Ito, Christos Faloutsos |
| 2022 | Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach. | Alexandra Iacob, Bogdan Cautis, Silviu Maniu |
| 2022 | Neural Graph Matching for Pre-training Graph Neural Networks. | Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen |
| 2022 | SSSNET: Semi-Supervised Signed Network Clustering. | Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu |
| 2022 | Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. | Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li |
| 2022 | BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties. | Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal |
| 2022 | Entropy Weight Allocation: Positive-unlabeled Learning via Optimal Transport. | Wen Gu, Teng Zhang, Hai Jin |
| 2022 | Positive Unlabeled Learning with a Sequential Selection Bias. | Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu |
| 2022 | Computation of the Sample Frchet Mean for Sets of Large Graphs with Applications to Regression. | Daniel Ferguson, Franois G. Meyer |
| 2022 | Heterogeneous Temporal Graph Neural Network. | Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye |
| 2022 | Knowledge-enhanced Spherical Representation Learning for Text Classification. | Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar |
| 2022 | Interpretable Molecular Graph Generation via Monotonic Constraints. | Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao |
| 2022 | Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. | Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong |
| 2022 | IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance. | Grace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson |
| 2022 | Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. | Zhixuan Chu, Stephen L. Rathbun, Sheng Li |
| 2022 | GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. | Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li |
| 2022 | On the Persistence of Higher-Order Interactions in Real-World Hypergraphs. | Hyunjin Choo, Kijung Shin |
| 2022 | Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection. | Lingwei Chen, Xiaoting Li, Dinghao Wu |
| 2022 | Dense and well-connected subgraph detection in dual networks. | Tianyi Chen, Francesco Bonchi, David Garca-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis |