LOG 2024 Conference Submissions

Exploring Graph Structure Comprehension Ability of Multimodal Large Language Models: Case Studies
Zhiqiang Zhong, Davide Mottin
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Understanding Feature/Structure Interplay in Graph Neural Networks
Diana Gomes, Ann Nowe, Peter Vrancx
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier, Antonio Oroz, Stephan Günnemann
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Knowledge Graph Preference Contrastive Learning for Recommendation
Junze Zhu, Zhongyi Hu, Fan Zhang
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Weisfeiler–Leman at the margin
Billy Joe Franks, Christopher Morris, Ameya Velingker, Floris Geerts
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
Jiahui Liu, Zhenkun Cai, Zhiyong Chen, Minjie Wang
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Enhancing Graph Neural Networks with Random Graph Ensembles
Jan von Pichowski, Vincenzo Perri, Ingo Scholtes
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Oral
- Readers: Everyone
Grammatical Path Network : You want cycles, paths is all you need.
Jason Piquenot, Louisa Bouzidi, Maxime Berar, Pierre Héroux, Romain Raveaux, Jean-Yves RAMEL, Sébastien Adam
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
GraTeD-MLP: Efficient Node Classification via Graph Transformer Distillation to MLP
Sarthak Malik, Aditi Rai, Ram Ganesh V, Himank Sehgal, Akshay Sethi, Aakarsh Malhotra
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Revisiting Graph Homophily Measures
Mikhail Mironov, Liudmila Prokhorenkova
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Oral
- Readers: Everyone
UnRavL: A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
Tamara Cucumides, Daniel Daza, Pablo Barcelo, Michael Cochez, Floris Geerts, Juan L Reutter, Miguel Romero Orth
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Oral
- Readers: Everyone
Link Prediction with Untrained Message Passing Layers
Lisi Qarkaxhija, Anatol Eugen Wegner, Ingo Scholtes
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Optimal performance of Graph Convolutional Networks on the Contextual Stochastic Block Model
Guillaume Dalle, Patrick Thiran
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Recurrent Aggregators in Neural Algorithmic Reasoning
Kaijia Xu, Petar Veličković
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
TabGraphs: A New Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov, Oleg Platonov, Liudmila Prokhorenkova
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Leveraging Temporal Graph Networks Using Module Decoupling
Or Feldman, Chaim Baskin
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Do We Really Need Complicated Graph Learning Models? -- A Simple but Effective Baseline
Kaan Sancak, Muhammed Fatih Balin, Umit Catalyurek
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
A Pure Transformer Pretraining Framework on Text-attributed Graphs
Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Hyperbolic Kernel Convolution: A Generic Framework
Eric Qu, Lige Zhang, Habib Debaya, Yue Wu, Dongmian Zou
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Faster Optimization on Sparse Graphs via Neural Reparametrization
Csaba Both, Nima Dehmamy, Jianzhi Long, Rose Yu
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting
Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone