Papers
51 papers found
GraphFit: Learning Multi-Scale Graph-Convolutional Representation for Point Cloud Normal Estimation
Keqiang Li, Mingyang Zhao, Huaiyu Wu et al.
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Hongkang Li, Meng Wang, Sijia Liu et al.
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision
Jun Zhuang, Mohammad Al Hasan
Adaptive Graph Convolutional Network for Knowledge Graph Entity Alignment
Renbo Zhu, Xukun Luo, Meng Ma et al.
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
Cheng Wan, Youjie Li, Cameron R. Wolfe et al.
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
Mingjie Li, Xiaojun Guo, Yifei Wang et al.
A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract)
Nicholas Halliwell, Fabien Gandon, Freddy Lecue
Pseudo-Riemannian Graph Convolutional Networks
Bo Xiong, Shichao Zhu, Nico Potyka et al.
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
Leyan Deng, Defu Lian, Chenwang Wu et al.
Exact Shape Correspondence via 2D graph convolution
Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen et al.
Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya, Cameron Musco
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Ran Ran, Wei Wang, Quan Gang et al.
Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network
Yuan Wang, Min Cao, Zhenfeng Fan et al.
Block Modeling-Guided Graph Convolutional Neural Networks
Dongxiao He, Chundong Liang, Huixin Liu et al.
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Chenyu Wang, Zongyu Lin, Xiaochen Yang et al.
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
Tao Wang, Di Jin, Rui Wang et al.
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media
Mengzhu Sun, Xi Zhang, Jiaqi Zheng et al.
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
Wei Duan, Junyu Xuan, Maoying Qiao et al.
Deformable Graph Convolutional Networks
Jinyoung Park, Sungdong Yoo, Jihwan Park et al.
Low-Pass Graph Convolutional Network for Recommendation
Wenhui Yu, Zixin Zhang, Zheng Qin
Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network
Bin Liang, Chenwei Lou, Xiang Li et al.
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
Hao Chen, Zepeng Zhai, Fangxiang Feng et al.