ICML 2024 Workshop GRaM Submissions

Unsupervised Ground Metric Learning with Tree Wasserstein Distance
Kira Michaela Düsterwald, Makoto Yamada
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford GNNs
Cong Liu, David Ruhe, Patrick Forré
- Published: 17 Jun 2024, Last Modified: 09 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation
Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
A Theoretical Formulation of Many-body Message Passing Neural Networks
Jiatong Han
- Published: 17 Jun 2024, Last Modified: 10 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design
Shengchao Liu, Divin Yan, weitao Du, Weiyang Liu, Hongyu Guo, Christian Borgs, Jennifer T Chayes, Anima Anandkumar
- Published: 17 Jun 2024, Last Modified: 21 Aug 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
E(n) Equivariant Message Passing Cellular Networks
Veljko Kovac, Erik J Bekkers, Pietro Lio, Floor Eijkelboom
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Gaussian Process-Based Representation Learning via Timeseries Symmetries
Petar Bevanda, Max Beier, Armin Lederer, Alexandre Capone, Stefan Georg Sosnowski, Sandra Hirche
- Published: 17 Jun 2024, Last Modified: 21 Aug 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael M. Bronstein
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Geometry Fidelity for Spherical Images
Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata, Ole Winther, Mar Gonzalez-Franco, Andrea Colaco
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Path Complex Neural Network for Molecular Property Prediction
Longlong Li, Xiang LIU, Guanghui Wang, Yu Guang Wang, KELIN XIA
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Leveraging Topological Guidance for Improved Knowledge Distillation
Eun Som Jeon, Rahul Khurana, Aishani Pathak, Pavan K. Turaga
- Published: 17 Jun 2024, Last Modified: 06 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Dirac--Bianconi Graph Neural Networks - Enabling long-range graph predictions
Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S J S Mey, Frank Hellmann
- Published: 17 Jun 2024, Last Modified: 21 Aug 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
An Equivariant Flow Matching Framework for Learning Molecular Crystallization
Shengchao Liu, Divin Yan, Hongyu Guo, Anima Anandkumar
- Published: 17 Jun 2024, Last Modified: 21 Aug 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Decomposed Linear Dynamical Systems (dLDS) for identifying the latent dynamics underlying high-dimensional time-series
Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher John Rozell, Adam Shabti Charles
- Published: 17 Jun 2024, Last Modified: 26 Jun 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Temporal Graph Rewiring with Expander Graphs
Katarina Petrović, Shenyang Huang, Farimah Poursafaei, Petar Veličković
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Metric Learning for Clifford Group Equivariant Neural Networks
Riccardo Ali, Paulina Kulytė, Haitz Sáez de Ocáriz Borde, Pietro Lio
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
Alonso Urbano, David W. Romero
- Published: 17 Jun 2024, Last Modified: 09 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Commute-Time-Optimised Graphs for GNNs
Igor Sterner, Shiye Su, Petar Veličković
- Published: 17 Jun 2024, Last Modified: 21 Aug 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
InfoNCE: Identifying the Gap Between Theory and Practice
Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
3D Shape Completion with Test-Time Training
Michael Schopf-Kuester, Zorah Lähner, Michael Moeller
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
Martin Lindström, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Asynchrony Invariance Loss Functions for Graph Neural Networks
Pablo Monteagudo-Lago, Arielle Rosinski, Andrew Joseph Dudzik, Petar Veličković
- Published: 17 Jun 2024, Last Modified: 10 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
Soutrik Roy Chowdhury
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models
Charumathi Badrinath, Usha Bhalla, Alex Oesterling, Suraj Srinivas, Himabindu Lakkaraju
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone