Temporal Knowledge Graph (TKG) representation learning embeds entities and event types into a continuous low-dimensional vector space by integrating the temporal information, which is essential for ...

Graph representation learning has been extensively studied in recent years. It has been proven effective in network analysis and mining tasks such as node classification and link prediction. Learning ...

Shaw Connolly is obsessed with learning the fate of her sister, who disappeared 16 years ago. She still distributes posters and searches the woods with a cadaver dog. Her obsession ...