GraphMAS: A Systematic Benchmark of Multi-Agent Coordination for Graph Learning
cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving
- GraphSearch: Agentic Search-Augmented Reasoning for Zero-Shot Graph Learning
- Multi-Agent Agentic Graph Learning via Structural Signatures
- Proximal Policy Optimization Algorithms
- Multi-Agent Collaboration Mechanisms: A Survey of LLMs
- Qwen2.5 Technical Report
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks