When considering Miguel Arzabe’s bold, woven works, it’s unsurprising that he begins by painting two abstract pieces. Vibrant fields of acrylic spread across his canvases before they’re sliced into ...

@inproceedings{steinke2025curbosg, author={Steinke, Tim and Büchner, Martin and Vödisch, Niclas and Valada, Abhinav}, booktitle={2025 IEEE/RSJ International Conference on Intelligent Robots and ...

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...

Abstract: Change point detection is crucial for identifying state transitions and anomalies in dynamic systems, with applications in network security, health care, and social network analysis. Dynamic ...

Abstract: In recent years, dynamic knowledge graph embedding (DKGE) has been widely studied to deal with large-scale dynamic knowledge graphs (DKG). The core idea is to encode dynamic information ...