Toward Foundation Models for Detecting Abnormal Activities on Graphs
- Hezhe Qiao
- Hanghang Tong
- et al.
- 2026
- AAAI 2026
Tutorial
Publications
12 results for Charu Aggarwal
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
- Jie Ren
- Zhenwei Dai
- et al.
- 2025
- NeurIPS 2025
Conference paperDeep Learning for Graph Anomaly Detection
- Hezhe Qiao
- Hanghang Tong
- et al.
- 2025
- IJCAI 2025
TutorialAI4DE: The first International Workshop on AI For Data Editing
- Yanjie Fu
- Kunpeng Liu
- et al.
- 2025
- KDD 2025
WorkshopPrecedence-Constrained Winter Value for Effective Graph Data Valuation
- Hongling Chi
- Wei Jin
- et al.
- 2025
- ICLR 2025
Conference paperUnsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
- Wangyang Ying
- Dongjie Wang
- et al.
- 2024
- KDD 2024
Conference paperInstance-Level Metalearning for Outlier Detection
- Long Vu
- Peter D. Kirchner
- et al.
- 2024
- IJCAI 2024
Conference paperEfficient Contrastive Learning for Fast and Accurate Inference on Graphs
- Teng Xiao
- Huaisheng Zhu
- et al.
- 2024
- ICML 2024
Conference paperSharpness-Aware Data Poisoning Attack
- Pengfei He
- Han Xu
- et al.
- 2024
- ICLR 2024
Conference paperTowards Label Position Bias in Graph Neural Networks
- Haoyu Han
- Xiaorui Liu
- et al.
- 2023
- NeurIPS 2023
Conference paper