MGKAN: Predicting Asymmetric Drug-Drug Interactions Via a Multimodal Graph Kolmogorov-Arnold Network

Authors: Kunyi Fan, Mengjie Chen, Longlong Li et al.
Publication: ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Published: May 3, 2026
Source: Crossref
Back to Search View Original Cite This Article

Related Articles

Predicting power conversion efficiency of luminescent solar concentrators using artificial neural networks

Sandra F. H. Correia, Ana R. Bastos et al. - May 2026

Read More
AHM-Net: An Asymmetric Hierarchical Multi-Modal Fusion Network for Robust UAV Detection Using RGB and Event Data

Daohong Niu, Wenhan Yang et al. - May 2026

Read More
Gen3d:Generating Domain-Free 3D Scenes From a Single Image

Yuxin Zhang, Ziyu Lu et al. - May 2026

Read More
Hierarchical Sparse Vector Transmission for Ultra Reliable and Low Latency Communications

Yanfeng Zhang, Xi’An Fan et al. - May 2026

Read More
Fed-Game: Personalized Federated Learning with Graph Attention Mixture-of-Experts for Time-Series Forecasting

Yi Li, Han Liu et al. - May 2026

Read More
Journal Ideas PyMinds Charcha More
PORE

About

About Us

Resources

Help Center Research Guides Citescore

Legal

Terms of Service Privacy Policy Cookie Policy Accessibility

Connect

Contact Us
© 2026 PORE. Content available under CC BY-NC 4.0