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I explore various applications, including visualizing graphs of Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and more.\n\n## Why NetworkX?\nNetworkX is a powerful tool for:\n- Creating and manipulating graphs\n- Analyzing network structures\n- Visualizing relationships in deep learning models\n\n## Getting Started\n### Installation\nEnsure you have Python installed, then install NetworkX:\n```bash\npip install networkx matplotlib\n```\n\n### Basic Usage\n```python\nimport networkx as nx\nimport matplotlib.pyplot as plt\n\n# Create a simple graph\nG = nx.Graph()\nG.add_edges_from([(1, 2), (2, 3), (3, 1)])\n\n# Draw the graph\nnx.draw(G, with_labels=True)\nplt.show()\n```\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"network.png\" width=\"30%\" /\u003e\n  \u003cimg src=\"cnn.png\" width=\"60%\" /\u003e\n\u003c/p\u003e\n\n## Applications Explored\n- **Graph Visualization**: Understanding how CNN and GNN architectures can be represented as graphs.\n- **Model Structure Analysis**: Investigating connections in deep learning architectures.\n- **Custom Graphs**: Creating and analyzing networks for AI/ML research.\n\n## Future Goals\n- Implement more advanced graph algorithms.\n- Explore real-world applications in AI and ML.\n- Optimize graph visualizations for large-scale models.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faditya-ranjan1234%2Fexploring-networkx","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faditya-ranjan1234%2Fexploring-networkx","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faditya-ranjan1234%2Fexploring-networkx/lists"}