The　number　of　social　bots　on　online　social　networks　has　increased　significantly.　Although　social　media　platforms　and　researchers　have　taken　some　measures　to　address　this　issue,　most　of　the　methods　have　not　focused　on　the　relationships　in　social　networks.　The　popular　undirected　graphs　used　in　current　times　not　only　fail　to　express　the　diverse　relationships　between　users,　but　are　also　limited　by　the　single　neighbor　relationship.　This　paper　presents　a　new　graph　model　called　E-GraphRTAGE,　which　can　process　different　types　of　user　relationships　while　not　neglecting　the　role　of　its　own　nodes　in　the　relationship.　Additionally,　it　expands　the　scope　of　graph　models　by　incorporating　CNN’s　convolutional　kernels,　no　longer　focusing　solely　on　neighboring　nodes　but　also　paying　attention　to　distant　nodes　or　nodes　at　a　greater　distance.　We　input　the　Twi-bot20　dataset　into　our　model　for　social　bot　detection　and　achieved　good　results.　©　2024　Copyright　held　by　the　owner/author(s).