GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection
cs.LG
Submitted: 2026-09-04
Updated: 2026-10-01
Comments: Preprint. This work and project were done in Apr. 2026. This work was included in Xudong Wang's Ph.D. thesis (Defense Passed on 13 Apr. 2026), "Principled and Effective Graph Representation Learning with Application to Anomaly Detection," deposited with The Chinese University of Hong Kong, Shenzhen Library
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Deep Graph Anomaly Detection: A Survey and New Perspectives
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
- Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
- Raising the Bar in Graph-level Anomaly Detection
- A simple yet effective baseline for non-attributed graph classification
- Let Your Graph Do the Talking: Encoding Structured Data for LLMs
- How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
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