Developer & Academic Writer: ‘Simplified Graph Convolutional Network for Multiple Social Recommendations
Budget: $30 – $250 USD
1. Scope of Work:
a. Code Implementation
Implement a Graph Convolutional Network (GCN) for multi‑social recommendations
Use frameworks like PyTorch Geometric or DGL (you decide which)
Data preprocessing on social graphs (e.g., NetworkX, Pandas)
Training, evaluation, and visualization of results
b. Paper Writing
Draft sections (Introduction, Related Work, Methodology, Experiments, Discussion, Conclusion)
Integrate your existing references and cite them in IEEE/ACM style (or your target journal’s style)
Generate figures & tables (e.g. , architecture diagrams, performance plots)
Final formatting in LaTeX (or Word)
2. Required Skills:
• 3+ years Python experience (Pandas, NumPy, NetworkX)
• Deep familiarity with GNN libraries (PyTorch Geometric or DGL)
• Prior work on social recommender systems (portfolio or publications)
• Strong academic writing in LaTeX (or Word)
a. Code Implementation
Implement a Graph Convolutional Network (GCN) for multi‑social recommendations
Use frameworks like PyTorch Geometric or DGL (you decide which)
Data preprocessing on social graphs (e.g., NetworkX, Pandas)
Training, evaluation, and visualization of results
b. Paper Writing
Draft sections (Introduction, Related Work, Methodology, Experiments, Discussion, Conclusion)
Integrate your existing references and cite them in IEEE/ACM style (or your target journal’s style)
Generate figures & tables (e.g. , architecture diagrams, performance plots)
Final formatting in LaTeX (or Word)
2. Required Skills:
• 3+ years Python experience (Pandas, NumPy, NetworkX)
• Deep familiarity with GNN libraries (PyTorch Geometric or DGL)
• Prior work on social recommender systems (portfolio or publications)
• Strong academic writing in LaTeX (or Word)