LOG 2023 Conference Submissions

SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning
Julian Minder, Florian Grötschla, Joël Mathys, Roger Wattenhofer
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
A Simple Latent Variable Model for Graph Learning and Inference
Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
Representing Edge Flows on Graphs via Sparse Cell Complexes
Josef Hoppe, Michael T Schaub
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
Rethinking Higher-order Representation Learning with Graph Neural Networks
Tuo Xu, Lei Zou
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
The Self-loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks
Moritz Lampert, Ingo Scholtes
- Published: 18 Nov 2023, Last Modified: 27 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Dynamic Hyper-graph Regularized Non-negative Matrix Factorization
Nasr Ullah Khan, Luke Dickens
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
Andreas Roth, Thomas Liebig
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Latent Space Representations of Neural Algorithmic Reasoners
Vladimir V Mirjanic, Razvan Pascanu, Petar Veličković
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
How Faithful are Self-Explainable GNNs?
Marc Christiansen, Lea Villadsen, Zhiqiang Zhong, Stefano Teso, Davide Mottin
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Maximally Expressive GNNs for Outerplanar Graphs
Franka Bause, Fabian Jogl, Pascal Welke, Maximilian Thiessen
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Neural Algorithmic Reasoning for Combinatorial Optimisation
Dobrik Georgiev Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Lio
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
GwAC: GNNs with Asynchronous Communication
Lukas Faber, Roger Wattenhofer
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Inferring dynamic regulatory interaction graphs from time series data with perturbations
Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Demystifying Oversmoothing in Attention-Based Graph Neural Networks
Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
Triplet Edge Attention for Algorithmic Reasoning
Yeonjoon Jung, Sungsoo Ahn
- Published: 18 Nov 2023, Last Modified: 28 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Mitigating Over-smoothing and Over-squashing using Augmentations of Forman-Ricci Curvature
Lukas Fesser, Melanie Weber
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Kùzu: Graph Learning Applications Need a Modern Graph DBMS
ziyi Chen, Xiyang Feng, Guodong Jin, Chang Liu, Semih Salihoglu
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Explaining Unfairness in GNN-based Recommendation
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs
Yong-Min Shin, Won-Yong Shin
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Beyond Erdos-Renyi: Generalization in Algorithmic Reasoning on Graphs
Dobrik Georgiev Georgiev, Pietro Lio, Jakub Bachurski, Junhua Chen, Tunan Shi, Lorenzo Giusti
- Published: 18 Nov 2023, Last Modified: 27 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
Xiandong Zou, Xiangyu Zhao, Pietro Lio, Yiren Zhao
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Meta-Path Learning for Multi-relational Graph Neural Networks
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
Sampling Networks from Modular Compression of Network Flows
Christopher Blöcker, Jelena Smiljanić, Martin Rosvall, Ingo Scholtes
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Geometric instability of graph neural networks on large graphs
Borun Shi, Emily Morris, Haotian Shen, Weiling Du, Muhammad Hamza Sajjad
- Published: 18 Nov 2023, Last Modified: 28 Nov 2023
- LoG 2023 Poster
- Readers: Everyone