LOG 2025 Conference Submissions

G-Loss: Graph-Guided Fine-Tuning of Language Models
Aditya Sharma, VINTI AGARWAL, Rajesh Kumar
- Published: 23 Oct 2025, Last Modified: 30 Oct 2025
- LOG 2025 Poster
- Readers: Everyone
Less is More: Using Buffer Nodes to Reduce Excessive Majority Node Influence in Class Imbalance Graphs
Qian Wang, Zemin Liu, Zhen Zhang, Bingqiao Luo, Bingsheng He
- Published: 23 Oct 2025, Last Modified: 02 Nov 2025
- LOG 2025 Oral
- Readers: Everyone
Contextual Tokenization for Graph Inverted Indices
Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti, Abir De
- Published: 23 Oct 2025, Last Modified: 28 Oct 2025
- LOG 2025 Poster
- Readers: Everyone
Detecting Learning Dynamics in Graph Transformers via Spectral Deviations
Sydney Dolan, Max Z. Li
- Published: 23 Oct 2025, Last Modified: 02 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks
Niteesh Midlagajni, Constantin A. Rothkopf
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
DyGSSM: Multi-view Dynamic Graph Embeddings with SSM Gradient Update
Bizhan Alipourpijani, Serdar Bozdag
- Published: 23 Oct 2025, Last Modified: 23 Oct 2025
- LOG 2025 Poster
- Readers: Everyone
Overcoming Information Bottlenecks in Directed Graph Neural Networks through Rewiring
Yu He, Ishani Karmarkar, Ellen Vitercik
- Published: 23 Oct 2025, Last Modified: 23 Oct 2025
- LOG 2025 Poster
- Readers: Everyone
Mapping the gene space at single-cell resolution with gene signal pattern analysis
Aarthi Venkat, Sam Leone, Scott Elliot Youlten, Hannah Thomas, Eric Fagerberg, John Attanasio, Nikhil S Joshi, Michael Perlmutter, Smita Krishnaswamy
- Published: 23 Oct 2025, Last Modified: 23 Oct 2025
- LOG 2025 Poster
- Readers: Everyone
Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning
Divyansha Lachi, Mahmoud Mohammadi, Joe Meyer, Vinam Arora, Tom Palczewski, Eva L Dyer
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
Generalized Degrees for Scalable Discrete Time Dynamic Graph Generation
Kjartan van Driel, Leonardo Niccolò Ialongo, Pablo Andrés Astudillo, Stefan Thurner
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Oral
- Readers: Everyone
Rethinking Test Generalisation In Neural Algorithmic Reasoning
Manasvi Aggarwal, Dulhan Jayalath, Jonas Jürß
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
Learning Kronecker-Structured Graphs from Smooth Signals
Changhao Shi, Gal Mishne
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Oral
- Readers: Everyone
Graph Cut-Based Semi-Supervised Learning via $p$-Conductances
Sawyer Jack Robertson, Chester Holtz, Zhengchao Wan, Gal Mishne, Alex Cloninger
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
Virtual Nodes Go Temporal
Sofiane ENNADIR, Yassir Jedra, Oleg Smirnov, Lele Cao
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Oral
- Readers: Everyone
Learning to Collaborate: Personalized Federated GNNs
Mohit Kataria, Nikita Malik, Satyam Govind Shukla, Shreyash Bhilwade, Sandeep Kumar
- Published: 23 Oct 2025, Last Modified: 04 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows
Moshe Eliasof, Eldad Haber, Carola-Bibiane Schönlieb
- Published: 23 Oct 2025, Last Modified: 23 Oct 2025
- LOG 2025 Oral
- Readers: Everyone
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
Yonatan Sverdlov, Yair Davidson, Nadav Dym, Tal Amir
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
Exploring Intrinsic Structures of Hyperedges as Point Clouds
Lige Zhang, Dongmian Zou
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Oral
- Readers: Everyone
Tuning-Free LLM Can Build A Strong Recommender Under Sparse Connectivity And Knowledge Gap Via Extracting Intent
Wenqing Zheng, Noah Fatsi, Daniel Barcklow, Dmitri Kalaev, Steven Yao, Owen Reinert, C. Bayan Bruss, Daniele Rosa
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
EC-Gate: Expansion Contribution-Aware Gating for Structure-Guided Message Passing in GNNs
Yutong Zheng, Xiangyu Zhao, Danilo Mandic
- Published: 23 Oct 2025, Last Modified: 06 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
Cristina López Amado, Tassilo Schwarz, Yu Tian, Renaud Lambiotte
- Published: 23 Oct 2025, Last Modified: 03 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
Short-Range Oversquashing
Yaaqov Mishayev, Yonatan Sverdlov, Tal Amir, Nadav Dym
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Oral
- Readers: Everyone
TopoFormer: An Efficient Link-Set Prediction Architecture for Ad Hoc Network Topology Generation
Félix Marcoccia, Victor Fagoo, Gilles Monzat de Saint Julien, Cédric Adjih, Thomas Watteyne, Paul Mühlethaler
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
Gleb Bazhenov, Oleg Platonov, Liudmila Prokhorenkova
- Published: 23 Oct 2025, Last Modified: 05 Nov 2025
- LOG 2025 Poster
- Readers: Everyone
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continued Pre-training of Large Language Models
Shengjie Ma, Xuhui Jiang, Chengjin Xu, Cehao Yang, Liyu Zhang, Jiaxin Mao, Jian Guo
- Published: 23 Oct 2025, Last Modified: 02 Nov 2025
- LOG 2025 Poster
- Readers: Everyone