Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks

Academic Background In the real world, network data (such as social networks, citation networks, etc.) often contain multiple types of nodes and edges, and these network structures evolve dynamically over time. To better analyze these complex networks, researchers have proposed network embedding techniques, which aim to represent nodes and edges in...

A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection

Research Background and Significance In recent years, weakly supervised online activity detection (WS-OAD), as an important topic in high-level video understanding, has garnered widespread attention. Its primary goal is to detect ongoing activities frame-by-frame in streaming videos using only inexpensive video-level annotations. This task holds si...