Paper "graph neural networks" Papers
71 papers found • Page 2 of 2
Conference
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
Luzhi Wang, Di Jin, He Zhang et al.
Graph Context Transformation Learning for Progressive Correspondence Pruning
Junwen Guo, Guobao Xiao, Shiping Wang et al.
Graph Contrastive Invariant Learning from the Causal Perspective
9672 Yanhu Mo, Xiao Wang, Shaohua Fan et al.
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
Tianrui Jia, Haoyang Li, Cheng Yang et al.
Graph Neural Prompting with Large Language Models
Yijun Tian, Huan Song, Zichen Wang et al.
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
Xingtong Yu, Yuan Fang, Zemin Liu et al.
Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Yiming Huang, Yujie Zeng, Qiang Wu et al.
Learning to Approximate Adaptive Kernel Convolution on Graphs
Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.
MGNet: Learning Correspondences via Multiple Graphs
Dai Luanyuan, Xiaoyu Du, Hanwang Zhang et al.
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Weigang Lu, Ziyu Guan, Wei Zhao et al.
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
Nimesh Agrawal, Anuj Sirohi, Sandeep Kumar et al.
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Yuecen Wei, Haonan Yuan, Xingcheng Fu et al.
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
Ruizhe Zhong, Junjie Ye, Zhentao Tang et al.
Provably Powerful Graph Neural Networks for Directed Multigraphs
Beni Egressy, Luc von Niederhäusern, Jovan Blanuša et al.
Question Calibration and Multi-Hop Modeling for Temporal Question Answering
Chao Xue, Di Liang, Pengfei Wang et al.
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
Fan Xu, Nan Wang, Hao Wu et al.
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen, Jose Frias, Yulia Gel
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
Ao Liu, Wenshan Li, Tao Li et al.
Union Subgraph Neural Networks
Jiaxing Xu, Aihu Zhang, Qingtian Bian et al.
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
Sonny Achten, Francesco Tonin, Panagiotis Patrinos et al.
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
Quang Truong, Peter Chin