| 2023 | The Web and Linked Data as a Solid Foundation for Dataspaces. | Sascha Meckler, Rene Dorsch, Daniel Henselmann, Andreas Harth |
| 2023 | Graph-based Village Level Poverty Identification. | Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu |
| 2023 | Towards InnoGraph: A Knowledge Graph for AI Innovation. | M. Besher Massri, Blerina Spahiu, Marko Grobelnik, Vladimir Alexiev, Matteo Palmonari, Dumitru Roman |
| 2023 | Learning Denoised and Interpretable Session Representation for Conversational Search. | Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao |
| 2023 | HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. | Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun |
| 2023 | Towards Timeline Generation with Abstract Meaning Representation. | Behrooz Mansouri, Ricardo Campos, Adam Jatowt |
| 2023 | Metadatamatic: A Web application to Create a Dataset Description. | Pierre Maillot, Olivier Corby, Catherine Faron, Fabien Gandon, Franck Michel |
| 2023 | Learning Geolocation by Accurately Matching Customer Addresses via Graph based Active Learning. | Saket Maheshwary, Saurabh Sohoney |
| 2023 | Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. | Akash Maharaj, Ritwik Sinha, David Arbour, Ian Waudby-Smith, Simon Z. Liu, Moumita Sinha, Raghavendra Addanki, Aaditya Ramdas, Manas Garg, Viswanathan Swaminathan |
| 2023 | CAViaR: Context Aware Video Recommendations. | Khushhall Chandra Mahajan, Aditya Palnitkar, Ameya Raul, Brad Schumitsch |
| 2023 | PIE: Personalized Interest Exploration for Large-Scale Recommender Systems. | Khushhall Chandra Mahajan, Amey Porobo Dharwadker, Romil Shah, Simeng Qu, Gaurav Bang, Brad Schumitsch |
| 2023 | Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. | Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng |
| 2023 | Optimizing Feature Set for Click-Through Rate Prediction. | Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu |
| 2023 | DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. | Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu |
| 2023 | GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network. | Xiaofeng Lu, Xiaoyu Zhang, Pietro Li |
| 2023 | Catch: Collaborative Feature Set Search for Automated Feature Engineering. | Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao |
| 2023 | IRWArt: Levering Watermarking Performance for Protecting High-quality Artwork Images. | Yuanjing Luo, Tongqing Zhou, Fang Liu, Zhiping Cai |
| 2023 | CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. | Zheheng Luo, Qianqian Xie, Sophia Ananiadou |
| 2023 | Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. | Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang |
| 2023 | Lower Risks, Better Choices: Stock Correlation Based Portfolio Selection in Stock Markets. | Di Luo, Weiheng Liao, Rui Yan |
| 2023 | Personalized style recommendation via reinforcement learning. | Jiyun Luo, Kurchi Subhra Hazra, Wenyu Huo, Rui Li, Abhijit Mahabal |
| 2023 | Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. | Hui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li, Yanchang Zhao |
| 2023 | Differentiable Optimized Product Quantization and Beyond. | Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen |
| 2023 | Multiview Representation Learning from Crowdsourced Triplet Comparisons. | Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima |
| 2023 | AutoMLP: Automated MLP for Sequential Recommendations. | Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo |