WSDM 2022 event header: abstract spherical graphic

February 21, 2022 – February 25, 2022

Microsoft at WSDM 2022

Mountain Standard Time (UTC -7)

위치: Virtual

출판물

자료 보기:

- HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
  
  Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
  
  The International Conference on Web Search and Data Mining (WSDM’22) | February 2022
  
  2nd Prize in ACM WSDM Cup 2022 Temporal Link Prediction Task
  
  Publication
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
  
  Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
  
  WSDM 2022 | February 2022
  
  Publication
- Learning Fair Node Representations with Graph Counterfactual Fairness
  
  Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
  
  2022 Web Search and Data Mining | January 2022
  
  Publication
- Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
  
  Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
  
  2022 Web Search and Data Mining | January 2022
  
  Publication
- Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
  
  Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
  
  Proceedings of International Conference on Web Search and Data Mining (WSDM’22) | May 2021
  
  Preprint Publication

- HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
  
  Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
  
  The International Conference on Web Search and Data Mining (WSDM’22) | February 2022
  
  2nd Prize in ACM WSDM Cup 2022 Temporal Link Prediction Task
  
  Publication
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
  
  Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
  
  WSDM 2022 | February 2022
  
  Publication
- Learning Fair Node Representations with Graph Counterfactual Fairness
  
  Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
  
  2022 Web Search and Data Mining | January 2022
  
  Publication
- Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
  
  Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
  
  Proceedings of International Conference on Web Search and Data Mining (WSDM’22) | May 2021
  
  Preprint Publication
- Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
  
  Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
  
  2022 Web Search and Data Mining | January 2022
  
  Publication
- Learning Fair Node Representations with Graph Counterfactual Fairness
  
  Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
  
  2022 Web Search and Data Mining | January 2022
  
  Publication

- HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
  
  Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
  
  The International Conference on Web Search and Data Mining (WSDM’22) | February 2022
  
  2nd Prize in ACM WSDM Cup 2022 Temporal Link Prediction Task
  
  Publication
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
  
  Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
  
  WSDM 2022 | February 2022
  
  Publication
- Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
  
  Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
  
  2022 Web Search and Data Mining | January 2022
  
  Publication
- Learning Fair Node Representations with Graph Counterfactual Fairness
  
  Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
  
  2022 Web Search and Data Mining | January 2022
  
  Publication
- Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
  
  Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
  
  Proceedings of International Conference on Web Search and Data Mining (WSDM’22) | May 2021
  
  Preprint Publication

Microsoft at WSDM 2022

출판물

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

Learning Fair Node Representations with Graph Counterfactual Fairness

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

Learning Fair Node Representations with Graph Counterfactual Fairness

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation

Learning Fair Node Representations with Graph Counterfactual Fairness

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation

Learning Fair Node Representations with Graph Counterfactual Fairness

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective