Position: TRUSTLLM: Trustworthiness in Large Language Models
- Yue Huang
- Lichao Sun
- et al.
- 2024
- ICML 2024
Conference paper
Publications
22 results for Jiliang Tang
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023)
- Lingfei Wu
- Jian Pei
- et al.
- 2023
- KDD 2023
WorkshopJointly Attacking Graph Neural Network and its Explanations
- Wenqi Fan
- Han Xu
- et al.
- 2023
- ICDE 2023
Conference paperFeature Overcorrelation in Deep Graph Neural Networks: A New Perspective
- Wei Jin
- Xiaorui Liu
- et al.
- 2022
- KDD 2022
Conference paperAccepted Tutorials at The Web Conference 2022
- Riccardo Tommasini
- Senjuti Basu Roy
- et al.
- 2022
- WWW 2022
Conference paperGraph Feature Gating Networks
- Wei Jin
- Xiaorui Liu
- et al.
- 2021
- CIKM 2021
Conference paperGraph pooling with representativeness
- Juanhui Li
- Yao Ma
- et al.
- 2020
- ICDM 2020
Conference paperInvestigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks
- Xianfeng Tang
- Huaxiu Yao
- et al.
- 2020
- CIKM 2020
Conference paperEpidemic graph convolutional network
- Tyler Derr
- Yao Ma
- et al.
- 2020
- WSDM 2020
Conference paperGraph convolutional networks with eigenpooling
- Yao Ma
- Charu Aggarwal
- et al.
- 2019
- KDD 2019
Conference paper