Here, we propose a Graph-Based Force Fields (GB-FFs) model for FF parameterization. GB-FFs automatically derive accurate FF parameters using atom features and bond features and aims to extend the generalization of FFs by using a novel Directed Graph multi-head Attention Network architecture. It serves as a continuous alternative to traditional discrete atom typing schemes, eliminating the need for assigning atom types and obtaining FF parameters directly from atomic representations.