Graph Geometry Interaction Learning

Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

While numerous approaches have been developed to embed graphs into either Euclidean or hyperbolic spaces, they do not fully utilize the information available in graphs, or lack the flexibility to model intrinsic complex graph geometry. To utilize the strength of both Euclidean and hyperbolic geometries, we develop a novel Geometry Interaction Learning (GIL) method for graphs, a well-suited and efficient alternative for learning abundant geometric properties in graph. GIL captures a more informative internal structural features with low dimensions while maintaining conformal invariance of each space. Furthermore, our method endows each node the freedom to determine the importance of each geometry space via a flexible dual feature interaction learning and probability assembling mechanism. Promising experimental results are presented for five benchmark datasets on node classification and link prediction tasks.

Original languageEnglish
Title of host publicationAdvances in Neural Information Processing Systems 33 (NeurIPS 2020)
EditorsH. Lorochelle, M. Ranzato, R. Hadsell, M.F. Balcan, H. Lin
Place of PublicationSan Diego CA USA
PublisherNeural Information Processing Systems (NIPS)
Number of pages11
Publication statusPublished - 2020
EventAdvances of Neural Information Processing Systems 2020 - Online, Virtual, Online, United States of America
Duration: 6 Dec 202012 Dec 2020
Conference number: 34th
https://proceedings.neurips.cc/paper/2020 (Proceedings )
https://nips.cc/Conferences/2020 (Website)

Publication series

NameAdvances in Neural Information Processing Systems
PublisherMorgan Kaufmann Publishers
Volume2020-December
ISSN (Print)1049-5258

Conference

ConferenceAdvances of Neural Information Processing Systems 2020
Abbreviated titleNeurIPS 2020
CountryUnited States of America
CityVirtual, Online
Period6/12/2012/12/20
Internet address

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