Research Foundation of Education Bureau of Hunan Province of China [20B625, 22B0275]; Changsha Natural Science Foundation [kq2202294]
机构署名：
本校为第一且通讯机构
院系归属：
计算机与信息工程学院
商学院
摘要：
ConclusionMost truss-based community search methods are usually confronted with the fragmentation issue. We propose a Biased edge Enhancement method for Truss-based Community Search (BETCS) to address the issue. This paper mainly solves the fragmentation problem in truss community query through data enhancement. In future work, we will consider applying the methods...
