LOG 2024 Conference Submissions

Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs
Frederik Wenkel, Semih Cantürk, Stefan Horoi, Michael Perlmutter, Guy Wolf
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Oral
- Readers: Everyone
Challenges of Generating Structurally Diverse Graphs
Fedor Velikonivtsev, Mikhail Mironov, Liudmila Prokhorenkova
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Oversquashing in Hypergraph Neural Networks
Naganand Yadati
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Graph Coarsening with Message-Passing Guarantees
Antonin Joly, Nicolas Keriven
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Oral
- Readers: Everyone
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
Maysam Behmanesh, Maks Ovsjanikov
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Stochastic Experience-Replay for Graph Continual Learning
Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
Minho Lee, Yun Young Choi, Sun Woo Park, Seunghwan Lee, Joohwan Ko, Jaeyoung Hong
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Matrix Completion with Hypergraphs: Sharp Thresholds and Efficient Algorithms
Zhongtian Ma, Qiaosheng Zhang, Zhen Wang
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Sub-graph Based Diffusion Model for Link Prediction
Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Decomposing force fields as flows on graphs reconstructed from stochastic trajectories
Ramón Dineth Nartallo-Kaluarachchi, Paul Expert, David Beers, Alexander Strang, Morten L Kringelbach, Renaud Lambiotte, Alain Goriely
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Oral
- Readers: Everyone
The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited
Floriano Tori, Vincent Holst, Vincent Ginis
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Oral
- Readers: Everyone
Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs
Mustafa Munir, Alex Zhang, Radu Marculescu
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction
Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling
Yuhong Luo, Pan Li
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
T-GAE: Transferable Graph Autoencoder for Network Alignment
Jiashu He, Charilaos Kanatsoulis, Alejandro Ribeiro
- Published: 16 Nov 2024, Last Modified: 16 Mar 2025
- LoG 2024 Poster
- Readers: Everyone
Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae, Gang Liu, Meng Jiang
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Knowledge Graph Unlearning with Schema
Yang Xiao, Ruimeng Ye, Bo Hui
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
On the Expressivity of Persistent Homology in Graph Learning
Rubén Ballester, Bastian Rieck
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Towards Neural Scaling Laws on Graphs
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
Davide Buffelli, Farzin Soleymani, Bastian Rieck
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs
Malte Luttermann, Ralf Möller, Marcel Gehrke
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone
Dynamic Representations of Global Crises: A Temporal Knowledge Graph For Conflicts, Trade and Value Networks
Julia Gastinger, Timo Sztyler, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin, Anett Schuelke, Heiner Stuckenschmidt
- Published: 16 Nov 2024, Last Modified: 26 Nov 2024
- LoG 2024 Poster
- Readers: Everyone