Enhance GATConv initialization and simplify dependencies

requirements.txt

@@ -25,16 +25,8 @@ seaborn
 pydot
 pygraphviz
 
-# PyTorch ecosystem - install these first
---find-links https://download.pytorch.org/whl/torch_stable.html
+# PyTorch ecosystem 
 torch
 torchvision
 torchaudio
-
-# PyTorch Geometric dependencies - install these after PyTorch
-torch-geometric
-torch-scatter
-torch-sparse
-torch-cluster
-torch-spline-conv
-torch-geometric-temporal
+torch-geometric

src/gat_social_network.py

@@ -5,7 +5,7 @@
 import networkx as nx
 import torch
 import torch.nn as nn
-from torch_geometric.nn import GATConv
+from torch_geometric.nn import GATConv  # Changed from GCNConv
 from torch_geometric.data import Data
 import matplotlib.pyplot as plt
 
@@ -78,10 +78,11 @@ def __init__(
         # GAT layer: Each head learns different aspects of relationships
         # Output dim per head is hidden_dim // num_heads to maintain constant total dimensions
         self.gat_layer = GATConv(
-            hidden_dim,
-            hidden_dim // num_heads,
+            in_channels=hidden_dim,
+            out_channels=hidden_dim // num_heads,
             heads=num_heads,
-            concat=True,  # Concatenate outputs from different heads
+            concat=True,
+            dropout=0.0  # Optional: Add dropout for regularization
         ).to(device)
 
     def add_agent(self, agent: AgentNode) -> None: