DynGraphAgentBench: A Benchmark for Agentic Lifecycle Control in Dynamic Graph Anomaly Detection
cs.LG
Submitted: 2026-09-27
Updated: 2026-09-27
Project page: https://aibuildai.github.io/AIBuildAI
Terminology
Sources
- MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
- Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection
- CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
- TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
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