2 papers
cs.LG2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Hang Ni, Jindong Han, Nengjun Zhu +1
Graph Anomaly Detection (GAD) plays a vital role in various data mining applications such as e-commerce fraud prevention and malicious user detection. Recently, Graph Neural Networ…
cs.CV2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents
Hao Wang, Tang Li, Chenhui Chu +3
Key-value relations are prevalent in Visually-Rich Documents (VRDs), often depicted in distinct spatial regions accompanied by specific color and font styles. These non-textual cue…