Zhou, Honglu, Chegu, Advith, Sohn, Samuel S., Fu, Zuohui, de Melo, Gerard, and Kapadia, Mubbasir. D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. Retrieved from https://par.nsf.gov/biblio/10458490. Proceedings of the 31st ACM International Conference on Information & Knowledge Management . Web. doi:10.1145/3511808.3557344.

Zhou, Honglu, Chegu, Advith, Sohn, Samuel S., Fu, Zuohui, de Melo, Gerard, & Kapadia, Mubbasir. D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. Proceedings of the 31st ACM International Conference on Information & Knowledge Management, (). Retrieved from https://par.nsf.gov/biblio/10458490. https://doi.org/10.1145/3511808.3557344

Zhou, Honglu, Chegu, Advith, Sohn, Samuel S., Fu, Zuohui, de Melo, Gerard, and Kapadia, Mubbasir. "D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning". Proceedings of the 31st ACM International Conference on Information & Knowledge Management (). Country unknown/Code not available. https://doi.org/10.1145/3511808.3557344. https://par.nsf.gov/biblio/10458490.

@article{osti_10458490,
place = {Country unknown/Code not available}, title = {D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning}, url = {https://par.nsf.gov/biblio/10458490}, DOI = {10.1145/3511808.3557344}, abstractNote = {}, journal = {Proceedings of the 31st ACM International Conference on Information & Knowledge Management}, author = {Zhou, Honglu and Chegu, Advith and Sohn, Samuel S. and Fu, Zuohui and de Melo, Gerard and Kapadia, Mubbasir}, }