ICLR 2022 Workshop GTRL Submissions

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola
- Published: 25 Mar 2022, Last Modified: 22 Oct 2023
- GTRL 2022 Poster
- Readers: Everyone
What does Hyperbolic Space Roles for Graph Learning?
Anonymous
- 02 Mar 2022 (modified: 03 Oct 2023)
- Submitted to GTRL 2022
- Readers: Everyone
Denoising Diffusion Probabilistic Models on SO(3) for Rotational Alignment
Adam Leach, Sebastian M Schmon, Matteo T. Degiacomi, Chris G. Willcocks
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
JUST PROPAGATE: UNIFYING MATRIX FACTORIZATION, NETWORK EMBEDDING, AND LIGHTGCN FOR LINK PREDICTION
Anonymous
- 02 Mar 2022 (modified: 05 May 2023)
- Submitted to GTRL 2022
- Readers: Everyone
Diffusion-Based Methods for Estimating Curvature in Data
Dhananjay Bhaskar, Kincaid MacDonald, Dawson Thomas, Sarah Zhao, Kisung You, Jennifer Paige, Yariv Aizenbud, Bastian Rieck, Ian M Adelstein, Smita Krishnaswamy
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
HIGH SKIP NETWORKS: A HIGHER ORDER GENERALIZATION OF SKIP CONNECTIONS
Mustafa Hajij, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Ghada Za
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Riemannian Residual Networks
Anonymous
- 02 Mar 2022 (modified: 05 May 2023)
- Submitted to GTRL 2022
- Readers: Everyone
Message Passing Neural Processes
Cătălina Cangea, Ben Day, Arian Rokkum Jamasb, Pietro Lio
- Published: 25 Mar 2022, Last Modified: 22 Oct 2023
- GTRL 2022 Poster
- Readers: Everyone
On the Inadequacy of CKA as a Measure of Similarity in Deep Learning
MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Graph Anisotropic Diffusion
Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein
- Published: 25 Mar 2022, Last Modified: 22 Oct 2023
- GTRL 2022 Poster
- Readers: Everyone
Graph Neural Networks are Dynamic Programmers
Andrew Dudzik, Petar Veličković
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Neural Approximation of Extended Persistent Homology on Graphs
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
- Published: 25 Mar 2022, Last Modified: 22 Oct 2023
- GTRL 2022 Spotlight
- Readers: Everyone
Rotation-Invariant Spherical Autoencoders
Anonymous
- 02 Mar 2022 (modified: 05 May 2023)
- Submitted to GTRL 2022
- Readers: Everyone
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds
Sung Woo Park, Hyomin Kim, Hyeseong Kim, Junseok Kwon
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Simplicial Attention Networks
Christopher Wei Jin Goh, Cristian Bodnar, Pietro Lio
- Published: 25 Mar 2022, Last Modified: 22 Oct 2023
- GTRL 2022 Poster
- Readers: Everyone
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective
Anonymous
- 02 Mar 2022 (modified: 22 Oct 2023)
- Submitted to GTRL 2022
- Readers: Everyone
Gauge Equivariant Deep Q-Learning on Discrete Manifolds
Sourya Basu, Pulkit Katdare, Katherine Rose Driggs-Campbell, Lav R. Varshney
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Manifold-aligned Neighbor Embedding
Mohammad Tariqul Islam, Jason W. Fleischer
- Published: 25 Mar 2022, Last Modified: 22 Oct 2023
- GTRL 2022 Poster
- Readers: Everyone
Decoupled Graph Neural Networks based on Label Agreement Message Propagation
Zhicheng An, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, JUN ZHOU, Yue Wang, Shao-Lun Huang
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frederic Chazal
- Published: 25 Mar 2022, Last Modified: 22 Oct 2023
- GTRL 2022 Spotlight
- Readers: Everyone
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
- Published: 25 Mar 2022, Last Modified: 22 Oct 2023
- GTRL 2022 Spotlight
- Readers: Everyone
Reducing Learning on Cell Complexes to Graphs
Fabian Jogl, Maximilian Thiessen, Thomas Gärtner
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators
Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, patrick gallinari
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Learning Weighted Product Spaces Representations for Graphs of Heterogeneous Structures
Tuc Van Nguyen, Dung D. Le, Anh Ta
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone