影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
-/100
发表论文4 篇
平均评分
年均产出4.0 篇/年
Bo Dong
研究方向
Graph data mining · Machine learning robustness · NLP
20
ProMoS: Prototype-Guided Distillation for Generalist Graph Anomaly Detection
ICLR 2026Rejected
18
Interactive Implicit In-context Learning
ICLR 2026Rejected
通讯33
TAME: A Task-Agnostic Framework for Robust Graph Neural Network Explanations via Structural Mixup
ICLR 2026Rejected
5
Hide and Find: A Distributed Adversarial Attack on Federated Graph Learning
ICLR 2026Withdrawn
通讯