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Temporal Heterogeneous Information Network Embedding via Semantic Evolution
Abstract: Real-world networks are often heterogeneous and constantly changing over time. Evolution reveals the trend of network development, which is vital for predicting its future state, and network embedding can effectively learn the information from it.
Wei Zhou, Hong Huang, Ruize Shi, Xiran Song, Xue Lin, Xiao Wang, Hai Jin
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Temporal Heterogeneous Information Network Embedding via Semantic Evolution