Spectral-temporal dual view graph convolutional networks: A deep learning framework for dynamic bipartite graphs.
Dynamic bipartite graphs (DBGs) are widely used in real-world scenarios, where representation learning is particularly challenging due to the heterogeneity of node types and the temporal evolution of interactions. A key difficulty lies in jointly capturing non-stationary micro-level preference dynamics and macro-level...