| 2024 | TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection. | Zehao Guo, Nannan Wu, Yiming Zhao, Wenjun Wang |
| 2024 | IntFair:Graph Neural Networks for Fair Recommendations with Interest Awareness. | Weiyang Guo, Yue Cui, Kai Zheng |
| 2024 | MG-CTG: A Framework for Controllable Text Generation Across Multiple Granularities. | Xiao Gu, Zhaojing Luo, Meihui Zhang |
| 2024 | Statement Graphs: Unifying the Graph Data Model Landscape. | Ewout Gelling, George Fletcher, Michael Schmidt |
| 2024 | MINES: Multi-perspective API Call Sequence Behavior Fusion Malware Classification. | Mohan Gao, Peng Wu, Li Pan |
| 2024 | Review Search Interface Based on Search Result Summarization Using Large Language Model. | Marino Fujii, Yuka Kawada, Takehiro Yamamoto, Takayuki Yumoto |
| 2024 | MGSD: Multi-Graph Joint Framework Based on Semantic Dependency for Chinese NER. | Zefeng Feng, Yingqi Zhang, Shun Mao, Yuncheng Jiang |
| 2024 | Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction. | Zihan Feng, Rui Wu, Yajun Yang, Hong Gao, Xin Wang, Xueli Liu, Qinghua Hu |
| 2024 | Learning Rules in Knowledge Graphs via Contrastive Learning. | Xiaoyang Feng, Xueli Liu, Yajun Yang, Wenjun Wang, Jun Wang |
| 2024 | Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation. | Wei Fan, Weijia Zhang, Weiqi Wang, Yangqiu Song, Hao Liu |
| 2024 | Relation-Entity Hybrid Learning Graph Model for Few-Shot Temporal Knowledge Graph Forecasting. | Shiqi Fan, Hongyi Nie, Ruibing Wang, Quanming Yao, Haotong Du, Yang Liu, Zhen Wang |
| 2024 | Distributed Temporal Graph Neural Network Learning over Large-Scale Dynamic Graphs. | Ziquan Fang, Qichen Sun, Qilong Wang, Lu Chen, Yunjun Gao |
| 2024 | Dynamic Confidence-aware Truth Discovery on Unevenly Distributed Data Streams. | Xiu Fang, Hao Chen, Xinyang Du, Ziqi Wei, Yang Zheng, Guohao Sun |
| 2024 | Stable Task Assignment with Range Partition under Differential Privacy. | Leilei Du, Peng Cheng, Lei Chen, Wangze Ni, Jing Zhao, Xuemin Lin |
| 2024 | Multi-scale Context-aware User Interest Learning for Behavior Pattern Modeling. | Zhiying Deng, Jianjun Li, Li Zou, Wei Liu, Si Shi, Qian Chen, Juan Zhao, Guohui Li |
| 2024 | MIPM: A Multidimensional Information Perception Model for Estimating Time of Arrival on Real Road Networks. | Tangpeng Dan, Xiao Pan, Yingtao Peng, Haojie Wei, Xiaofeng Meng |
| 2024 | OSDN: An Open Science Data Network for Interdisciplinary Research. | Vincent-Nam Dang, Nathalie Aussenac-Gilles, Imen Megdiche, Franck Ravat |
| 2024 | Diffusion Model-Enhanced Contrastive Learning for Graph Representation. | Qi Dai, Yumeng Song, Yu Gu, Fangfang Li, Xiaohua Li |
| 2024 | Searching Untrusted Clouds Meets Multiple Keys: Privacy-Preserving Spatio-Textual Top-k Query. | Ningning Cui, Dong Wang, Yuliang Ma, Mengxiang Wang, Kang Qian, Jianxin Li |
| 2024 | Unsupervised Node Clustering via Contrastive Hard Sampling. | Hang Cui, Tarek F. Abdelzaher |
| 2024 | Self-augmented Contrastive Learning for Knowledge-Aware Recommendation. | Guixin Chu, Xinye Guan, Yiran Shi, Bangzuo Zhang, Dongbing Pu |
| 2024 | Reusing Keywords for Fine-grained Representations and Matchings. | Li Chong, Denghao Ma, Yueguo Chen, Xueqiang Lv |
| 2024 | Redesigning Data and Metadata Updates in PM File Systems with Persistent CPU Caches. | Congyong Chen, Shengan Zheng, Yuhang Zhang, Linpeng Huang |
| 2024 | Prompt Based Intelligent Service Method for Public Code Review. | Xinyu Chen, Rui Zhang, Jianwei Zhang |
| 2024 | Attribute-Enhanced Temporal Point Process for Personalized User Behavior Prediction. | Yunong Chen, Men Zhang, Yuying Lin, Hongyuan Xu, Dongming Zhao, Yanlong Wen |