ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models
cs.LG, cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
- Adversarial Attacks and Defenses on Graph-aware Large Language Models (LLMs)
- GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis Tasks
- InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
- Data-centric Federated Graph Learning with Large Language Models
- Qwen3 Technical Report
- Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
- GraphText: Graph Reasoning in Text Space
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