The First Learning on Graphs Conference: Preface

Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle Li, Sofia Bourhim, Ilia Igashov
Proceedings of the First Learning on Graphs Conference, PMLR 198:i-xxiii, 2022.

Cite this Paper


BibTeX
@InProceedings{pmlr-v198-rieck22a, title = {The First Learning on Graphs Conference: Preface}, author = {Rieck, Bastian and Pascanu, Razvan and Du, Yuanqi and St\"{a}rk, Hannes and Lim, Derek and Joshi, Chaitanya K. and Deac, Andreea and Duta, Iulia and Robinson, Joshua and Corso, Gabriele and Cotta, Leonardo and Zhu, Yanqiao and Huang, Kexin and Li, Michelle and Bourhim, Sofia and Igashov, Ilia}, booktitle = {Proceedings of the First Learning on Graphs Conference}, pages = {i--xxiii}, year = {2022}, editor = {Rieck, Bastian and Pascanu, Razvan}, volume = {198}, series = {Proceedings of Machine Learning Research}, month = {09--12 Dec}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v198/rieck22a/rieck22a.pdf}, url = {https://proceedings.mlr.press/v198/rieck22a.html} }
Endnote
%0 Conference Paper %T The First Learning on Graphs Conference: Preface %A Bastian Rieck %A Razvan Pascanu %A Yuanqi Du %A Hannes Stärk %A Derek Lim %A Chaitanya K. Joshi %A Andreea Deac %A Iulia Duta %A Joshua Robinson %A Gabriele Corso %A Leonardo Cotta %A Yanqiao Zhu %A Kexin Huang %A Michelle Li %A Sofia Bourhim %A Ilia Igashov %B Proceedings of the First Learning on Graphs Conference %C Proceedings of Machine Learning Research %D 2022 %E Bastian Rieck %E Razvan Pascanu %F pmlr-v198-rieck22a %I PMLR %P i--xxiii %U https://proceedings.mlr.press/v198/rieck22a.html %V 198
APA
Rieck, B., Pascanu, R., Du, Y., Stärk, H., Lim, D., Joshi, C.K., Deac, A., Duta, I., Robinson, J., Corso, G., Cotta, L., Zhu, Y., Huang, K., Li, M., Bourhim, S. & Igashov, I.. (2022). The First Learning on Graphs Conference: Preface. Proceedings of the First Learning on Graphs Conference, in Proceedings of Machine Learning Research 198:i-xxiii Available from https://proceedings.mlr.press/v198/rieck22a.html.

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