Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings
Comments 11 pages, accepted by the Web Conference 2022
期刊&会议
The Web Conference · 会议 · Web
Comments 11 pages, accepted by the Web Conference 2022
Comments This paper is a curated version of my keynote at the Web Conference 2022. arXiv admin note: substantial text overlap with arXiv:2202.07446
Comments Accepted by WWW-22
Comments Under review for WWW'17
Comments Published at the Web Conference 2022 (WWW 2022)
Journal ref In Proceedings of the ACM Web Conference 2022 (WWW '22)
Comments Accepted to WWW 2022 Graph Learning workshop
Comments WWW 2022
Comments Accepted at WWW 2022 (Proceedings of the Web Conference)
Comments WWW 2022
Comments 7 pages, 3 figures, 1 table, Proceedings of The Web Conference (WWW 2019)
Journal ref WWW '19: The World Wide Web ConferenceMay 2019
Comments Accepted to WWW 2022
Comments WWW 2022
Comments In proceedings of the Thirty-first Web Conference (WWW-2022). arXiv admin note: text overlap with arXiv:2010.14624
Comments 12 pages, 6 figures. To appear in The Web Conference (WWW) 2021
Comments The Web Conference 2022 (WWW'22)
Comments 9 pages, accepted by WWW'22
Comments Keywords: unbiased graph embedding, fairness, sensitive attributes, bias-free graph, node representation In Proceedings of the ACM Web Conference 2022 (WWW'22), April 25-29, 2022, Virtual Event, Lyon, France. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3485447.3512189
Comments accepted at Posters and Demos Track at The Web Conference 2022 (WWW 2022)
Comments Accepted at FinWeb 2022 workshop of WWW 2022
Comments Accepted by WWW2022
Comments Accepted at The Web Conference (WWW 2022)
Comments accepted by WWW22
Comments 10 pages, Published in WWW'22
Comments Accepted by Graph Learning Workshop at WWW'22
Comments Accepted by WWW2022
Comments Published in Proceedings of the ACM Web Conference 2022 (WWW '22)
Comments To appear as a full paper in The Web Conference (WWW), 2022
Comments Accepted by WWW 2022
Journal ref Proceedings of the ACM Web Conference 2022 (WWW '22), April 25--29, 2022, Virtual Event, Lyon, France