Precise prediction of potential drug-disease associations (DDAs) is essential for enhancing treatment strategies and expediting drug development. However, current methods often rely on single-modal data and fail to effectively integrate multimodal information when representing node attributes.

DOI Link: 
10.21227/33k6-ga05
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[1] wen wang, "Heterogeneous and Similarity Network Data", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/33k6-ga05. Accessed: Feb. 10, 2025.
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author = {wen wang },
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title = {Heterogeneous and Similarity Network Data},
year = {2024} }
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T1 - Heterogeneous and Similarity Network Data
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wen wang. (2024). Heterogeneous and Similarity Network Data. IEEE Dataport. http://dx.doi.org/10.21227/33k6-ga05
wen wang, 2024. Heterogeneous and Similarity Network Data. Available at: http://dx.doi.org/10.21227/33k6-ga05.
wen wang. (2024). "Heterogeneous and Similarity Network Data." Web.
1. wen wang. Heterogeneous and Similarity Network Data [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/33k6-ga05
wen wang. "Heterogeneous and Similarity Network Data." doi: 10.21227/33k6-ga05