Papers
GRANOLA: Adaptive Normalization for Graph Neural Networks
Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb et al.
Graph-based Uncertainty Metrics for Long-form Language Model Generations
Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri et al.
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Baao Xie, Qiuyu Chen, Yunnan Wang et al.
Graph Classification via Reference Distribution Learning: Theory and Practice
Zixiao Wang, Jicong Fan
Graph Coarsening with Message-Passing Guarantees
Antonin Joly, Nicolas Keriven
Graphcode: Learning from multiparameter persistent homology using graph neural networks
Michael Kerber, Florian Russold
Graph Convolutions Enrich the Self-Attention in Transformers!
Jeongwhan Choi, Hyowon Wi, Jayoung Kim et al.
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan, Ruyi Ding, Jiaxing He et al.
Graph Diffusion Policy Optimization
Yijing Liu, Chao Du, Tianyu Pang et al.
Graph Diffusion Transformers for Multi-Conditional Molecular Generation
Gang Liu, Jiaxin Xu, Tengfei Luo et al.
Graph Edit Distance with General Costs Using Neural Set Divergence
Eeshaan Jain, Indradyumna Roy, Saswat Meher et al.
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
Cong Xu, Jun Wang, Jianyong Wang et al.
Graph Learning for Numeric Planning
Dillon Z. Chen, Sylvie Thiébaux
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu, Kaidi Cao, Bruno Ribeiro et al.
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
Zhao Zhang, Ziwei Zhao, Dong Wang et al.
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
Giangiacomo Mercatali, Andre Freitas, Jie Chen
Graph Neural Networks and Arithmetic Circuits
Timon Barlag, Vivian Holzapfel, Laura Strieker et al.
Graph neural networks and non-commuting operators
Mauricio Velasco, Kaiying O'Hare, Bernardo Rychtenberg et al.
Graph Neural Networks Do Not Always Oversmooth
Bastian Epping, Alexandre René, Moritz Helias et al.
Graph Neural Networks Need Cluster-Normalize-Activate Modules
Arseny Skryagin, Felix Divo, Mohammad Amin Ali et al.
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
Philipp Froehlich, Heinz Koeppl
GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules
Burouj Armgaan, Manthan Dalmia, Sourav Medya et al.
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
Yihe Deng, Chenchen Ye, Zijie Huang et al.
Grasp as You Say: Language-guided Dexterous Grasp Generation
Yi-Lin Wei, Jian-Jian Jiang, Chengyi Xing et al.
Great Minds Think Alike: The Universal Convergence Trend of Input Salience
Yipei Wang, Jeffrey Mark Siskind, Xiaoqian Wang