"graph classification" Papers
14 papers found
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
Jie Yang, Yuwen Wang, Kaixuan Chen et al.
ICLR 2025posterarXiv:2505.00364
3
citations
GLNCD: Graph-Level Novel Category Discovery
Bowen Deng, Lele Fu, Sheng Huang et al.
NeurIPS 2025poster
Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
Xiaotang Wang, Xuanwei Lin, Yun Zhu et al.
NeurIPS 2025poster
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
Yuankai Luo, Hongkang Li, Qijiong Liu et al.
ICLR 2025posterarXiv:2405.16435
11
citations
On Logic-based Self-Explainable Graph Neural Networks
Alessio Ragno, Marc Plantevit, Céline Robardet
NeurIPS 2025poster
TopER: Topological Embeddings in Graph Representation Learning
Astrit Tola, Funmilola Mary Taiwo, Cuneyt Akcora et al.
NeurIPS 2025posterarXiv:2410.01778
Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs
Yuzhou Chen, Yulia Gel
ICLR 2025poster
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
Haoyang Li, Xin Wang, Zeyang Zhang et al.
ICML 2024poster
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang, Qihui Yang, Dawei Zhou et al.
ICML 2024poster
Federated Self-Explaining GNNs with Anti-shortcut Augmentations
Linan Yue, Qi Liu, Weibo Gao et al.
ICML 2024poster
Learning Graph Representation via Graph Entropy Maximization
Ziheng Sun, Xudong Wang, Chris Ding et al.
ICML 2024poster
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
Hyuna Cho, Jaeyoon Sim, Guorong Wu et al.
ICML 2024oral
Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
Hiren Madhu, Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
ICML 2024poster
Verifying message-passing neural networks via topology-based bounds tightening
Christopher Hojny, Shiqiang Zhang, Juan Campos et al.
ICML 2024poster