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Datasets:
disco-eth
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AgentsNet

Tasks:
Graph Machine Learning
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2
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116
graph_generator
stringclasses
3 values
num_nodes
int64
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100
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int64
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389
11.7k
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{"graph": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"name": "Bradley", "id": 0}, {"name": "Sean", "id": 1}, {"name": "Hannah", "id": 2}, {"name": "Kathryn", "id": 3}, {"name": "Debra", "id": 4}, {"name": "Zachary", "id": 5}, {"name": "Janice", "id": 6}, {"name": "Joe", "id": 7}], "links": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 1, "target": 3}, {"source": 1, "target": 4}, {"source": 1, "target": 6}, {"source": 1, "target": 7}, {"source": 3, "target": 5}]}, "num_nodes": 8, "diameter": 2, "max_degree": 7, "graph_seed": 1825, "seed": 42}
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14
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{"graph": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"name": "Steven", "id": 0}, {"name": "Nathan", "id": 1}, {"name": "Janet", "id": 2}, {"name": "Amber", "id": 3}, {"name": "Bruce", "id": 4}, {"name": "Jacqueline", "id": 5}, {"name": "Laura", "id": 6}, {"name": "Patricia", "id": 7}], "links": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 7}, {"source": 1, "target": 5}, {"source": 1, "target": 7}, {"source": 2, "target": 3}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 4, "target": 6}]}, "num_nodes": 8, "diameter": 3, "max_degree": 6, "graph_seed": 4507, "seed": 42}
15
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{"graph": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"name": "Dorothy", "id": 0}, {"name": "Roger", "id": 1}, {"name": "Eric", "id": 2}, {"name": "Wayne", "id": 3}, {"name": "Andrew", "id": 4}, {"name": "Jeremy", "id": 5}, {"name": "Roy", "id": 6}, {"name": "Dylan", "id": 7}, {"name": "Benjamin", "id": 8}, {"name": "Sandra", "id": 9}, {"name": "Samantha", "id": 10}, {"name": "Charlotte", "id": 11}, {"name": "Lawrence", "id": 12}, {"name": "Kelly", "id": 13}, {"name": "Jacqueline", "id": 14}, {"name": "Brenda", "id": 15}], "links": [{"source": 0, "target": 14}, {"source": 0, "target": 1}, {"source": 0, "target": 7}, {"source": 0, "target": 11}, {"source": 0, "target": 9}, {"source": 1, "target": 7}, {"source": 1, "target": 6}, {"source": 1, "target": 2}, {"source": 1, "target": 14}, {"source": 2, "target": 14}, {"source": 2, "target": 13}, {"source": 3, "target": 15}, {"source": 3, "target": 4}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 12}, {"source": 4, "target": 15}, {"source": 4, "target": 12}, {"source": 4, "target": 10}, {"source": 4, "target": 6}, {"source": 5, "target": 10}, {"source": 5, "target": 6}, {"source": 5, "target": 8}, {"source": 6, "target": 7}, {"source": 6, "target": 10}, {"source": 6, "target": 8}, {"source": 7, "target": 11}, {"source": 7, "target": 12}, {"source": 7, "target": 8}, {"source": 8, "target": 10}, {"source": 8, "target": 12}, {"source": 9, "target": 15}, {"source": 9, "target": 13}, {"source": 9, "target": 14}, {"source": 9, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 13, "target": 15}, {"source": 13, "target": 14}]}, "num_nodes": 16, "diameter": 4, "max_degree": 6, "graph_seed": 1825, "seed": 42}
16
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{"graph": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"name": "Stephanie", "id": 0}, {"name": "Andrew", "id": 1}, {"name": "Theresa", "id": 2}, {"name": "Pamela", "id": 3}, {"name": "Alexis", "id": 4}, {"name": "Gary", "id": 5}, {"name": "Madison", "id": 6}, {"name": "Amanda", "id": 7}, {"name": "Katherine", "id": 8}, {"name": "Gregory", "id": 9}, {"name": "Roger", "id": 10}, {"name": "Brenda", "id": 11}, {"name": "Lauren", "id": 12}, {"name": "Karen", "id": 13}, {"name": "Nathan", "id": 14}, {"name": "Anna", "id": 15}], "links": [{"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 8}, {"source": 0, "target": 2}, {"source": 0, "target": 7}, {"source": 1, "target": 6}, {"source": 1, "target": 7}, {"source": 1, "target": 8}, {"source": 2, "target": 7}, {"source": 2, "target": 8}, {"source": 3, "target": 13}, {"source": 3, "target": 9}, {"source": 3, "target": 10}, {"source": 3, "target": 11}, {"source": 4, "target": 5}, {"source": 4, "target": 10}, {"source": 4, "target": 13}, {"source": 4, "target": 11}, {"source": 4, "target": 6}, {"source": 4, "target": 8}, {"source": 5, "target": 13}, {"source": 5, "target": 14}, {"source": 6, "target": 11}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 7, "target": 11}, {"source": 7, "target": 8}, {"source": 9, "target": 12}, {"source": 9, "target": 15}, {"source": 9, "target": 13}, {"source": 10, "target": 13}, {"source": 10, "target": 11}, {"source": 12, "target": 15}, {"source": 12, "target": 14}, {"source": 13, "target": 15}, {"source": 13, "target": 14}, {"source": 14, "target": 15}]}, "num_nodes": 16, "diameter": 5, "max_degree": 7, "graph_seed": 1825, "seed": 42}
17
dt
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18
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{"graph": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"name": "Steven", "id": 0}, {"name": "Elijah", "id": 1}, {"name": "William", "id": 2}, {"name": "Catherine", "id": 3}, {"name": "Christine", "id": 4}, {"name": "Peter", "id": 5}, {"name": "Zachary", "id": 6}, {"name": "Michael", "id": 7}, {"name": "Paul", "id": 8}, {"name": "Julia", "id": 9}, {"name": "Judith", "id": 10}, {"name": "Donald", "id": 11}, {"name": "Andrew", "id": 12}, {"name": "Thomas", "id": 13}, {"name": "Alan", "id": 14}, {"name": "Kathleen", "id": 15}], "links": [{"source": 0, "target": 3}, {"source": 0, "target": 14}, {"source": 0, "target": 9}, {"source": 0, "target": 15}, {"source": 0, "target": 7}, {"source": 1, "target": 11}, {"source": 1, "target": 10}, {"source": 1, "target": 4}, {"source": 1, "target": 6}, {"source": 1, "target": 12}, {"source": 1, "target": 8}, {"source": 2, "target": 9}, {"source": 2, "target": 5}, {"source": 2, "target": 3}, {"source": 2, "target": 14}, {"source": 3, "target": 14}, {"source": 3, "target": 9}, {"source": 4, "target": 7}, {"source": 4, "target": 13}, {"source": 4, "target": 6}, {"source": 4, "target": 12}, {"source": 5, "target": 11}, {"source": 5, "target": 14}, {"source": 5, "target": 6}, {"source": 5, "target": 9}, {"source": 5, "target": 8}, {"source": 6, "target": 9}, {"source": 6, "target": 13}, {"source": 6, "target": 8}, {"source": 7, "target": 15}, {"source": 7, "target": 13}, {"source": 7, "target": 12}, {"source": 8, "target": 11}, {"source": 9, "target": 15}, {"source": 9, "target": 13}, {"source": 10, "target": 11}, {"source": 10, "target": 14}, {"source": 11, "target": 14}, {"source": 13, "target": 15}]}, "num_nodes": 16, "diameter": 4, "max_degree": 7, "graph_seed": 4507, "seed": 42}
19
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{"graph": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"name": "Janet", "id": 0}, {"name": "Christian", "id": 1}, {"name": "Heather", "id": 2}, {"name": "Julie", "id": 3}], "links": [{"source": 0, "target": 3}, {"source": 0, "target": 2}, {"source": 0, "target": 1}, {"source": 1, "target": 3}, {"source": 2, "target": 3}]}, "num_nodes": 4, "diameter": 2, "max_degree": 3, "graph_seed": 1825, "seed": 42}
20
dt
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AgentsNet

This repository contains the graph instances used in the AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs paper.

AgentsNet is a new benchmark for multi-agent reasoning, designed to measure the ability of multi-agent systems to collaboratively form strategies for problem-solving, self-organization, and effective communication given a network topology. It draws inspiration from classical problems in distributed systems and graph theory.

Dataset

The dataset consists of synthetic graphs generated using various random graph models. It serves as the input for all experiments in the benchmark.

Citation

If you use this dataset, please cite the associated paper:

@misc{grötschla2025agentsnetcoordinationcollaborativereasoning,
      title={AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs}, 
      author={Florian Grötschla and Luis Müller and Jan Tönshoff and Mikhail Galkin and Bryan Perozzi},
      year={2025},
      eprint={2507.08616},
      archivePrefix={arXiv},
      primaryClass={cs.MA},
      url={https://arxiv.org/abs/2507.08616}, 
}
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