LOG 2023 Conference Submissions

Over-Squashing in Riemannian Graph Neural Networks
Julia Balla
- Published: 18 Nov 2023, Last Modified: 26 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation
Vishal Dey, Xia Ning
- Published: 18 Nov 2023, Last Modified: 27 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
A Latent Diffusion Model for Protein Structure Generation
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael Curtis McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi, Bertrand Charpentier, Francesco Di Giovanni, Fabrizio Frasca, Stephan Günnemann, Michael M. Bronstein
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Transferable Hypergraph Neural Networks via Spectral Similarity
Mikhail Hayhoe, Hans Matthew Riess, Michael M. Zavlanos, VICTOR PRECIADO, Alejandro Ribeiro
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev, Johannes Gasteiger
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
WL meet VC
Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction
Cong Fu, Jacob Helwig, Shuiwang Ji
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
MUDiff: Unified Diffusion for Complete Molecule Generation
Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Interpretable Graph Networks Formulate Universal Algebra Conjectures
Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero
- Published: 18 Nov 2023, Last Modified: 27 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Spectral Subgraph Localization
Ama Bembua Bainson, Judith Hermanns, Petros Petsinis, Niklas Aavad, Casper Dam Larsen, Tiarnan Swayne, Amit Boyarski, Davide Mottin, Alex M. Bronstein, Panagiotis Karras
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples
Adrianna Janik, Luca Costabello
- Published: 18 Nov 2023, Last Modified: 28 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Non-Isotropic Persistent Homology: Leveraging the Metric Dependency of PH
Vincent Peter Grande, Michael T Schaub
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
BeMap: Balanced Message Passing for Fair Graph Neural Network
Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
Jiaxing Zhang, Zhuomin Chen, hao mei, Dongsheng Luo, Hua Wei
- Published: 18 Nov 2023, Last Modified: 27 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Asynchronous Algorithmic Alignment with Cocycles
Andrew Joseph Dudzik, Tamara von Glehn, Razvan Pascanu, Petar Veličković
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity
Shubhankar Prashant Patankar, mathieu ouellet, Juan Cervino, Alejandro Ribeiro, Kieran A. Murphy, Danielle Bassett
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Geodesic Distributions Reveal How Heterophily and Bottlenecks Limit the Expressive Power of Message Passing Neural Networks
Jonathan Rubin, Sahil Loomba, Nick S. Jones
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
KGEx: Explaining Knowledge Graph Embeddings Via Subgraph Sampling and Knowledge Distillation
Vasileios Baltatzis, Luca Costabello
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings
Raffaele Pojer, Andrea Passerini, Manfred Jaeger
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics
Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Inferring Networks from Marginals Using Iterative Proportional Fitting
Serina Chang, Zhaonan Qu, Jure Leskovec, Johan Ugander
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova
- Published: 18 Nov 2023, Last Modified: 28 Nov 2023
- LoG 2023 Poster
- Readers: Everyone