Joshua Robinson

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 9

Top Topics

Unsupervised Learning

Graph Representation

Relational Databases

Top Venues

Publications

Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec
RelBench: A Benchmark for Deep Learning on Relational Databases. CoRR (2024)
Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
On the Stability of Expressive Positional Encodings for Graphs. ICLR (2024)
Sharut Gupta, Joshua Robinson, Derek Lim, Soledad Villar, Stefanie Jegelka
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning. ICLR (2024)
Sharut Gupta, Joshua Robinson, Derek Lim, Soledad Villar, Stefanie Jegelka
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning. CoRR (2023)
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR (2023)
Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
On the Stability of Expressive Positional Encodings for Graph Neural Networks. CoRR (2023)
Derek Lim, Joshua Robinson, Stefanie Jegelka, Haggai Maron
Expressive Sign Equivariant Networks for Spectral Geometric Learning. NeurIPS (2023)
Derek Lim, Joshua Robinson, Stefanie Jegelka, Haggai Maron
Expressive Sign Equivariant Networks for Spectral Geometric Learning. CoRR (2023)
Soledad Villar, Benjamin Paul Chamberlain, Yuanqi Du, Hannes Stärk, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan
The Second Learning on Graphs Conference: Preface. LoG (2023)