Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks

22 May 2024

Papers citing "Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks"

8 / 8 papers shown

Title
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 45 44 0 04 Oct 2023
From Hypergraph Energy Functions to Hypergraph Neural Networks Yuxin Wang Quan Gan Xipeng Qiu Xuanjing Huang David Wipf GNN 55 13 0 16 Jun 2023
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 76 38 0 30 Sep 2022
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs Devanshu Arya D. K. Gupta Stevan Rudinac Marcel Worring 22 78 0 09 Oct 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 35 770 0 08 Sep 2020
HNHN: Hypergraph Networks with Hyperedge Neurons Yihe Dong W. Sawin Yoshua Bengio GNN 13 131 0 22 Jun 2020
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 76 1,266 0 20 May 2019
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering Pan Li O. Milenkovic 21 111 0 10 Mar 2018