SSHPool: The Separated Subgraph-based Hierarchical Pooling

24 March 2024

Papers citing "SSHPool: The Separated Subgraph-based Hierarchical Pooling"

10 / 10 papers shown

Title
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 32 76 0 26 Jun 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 102 39 0 30 May 2022
Object DGCNN: 3D Object Detection using Dynamic Graphs Yue Wang Justin Solomon 3DPC 168 103 0 13 Oct 2021
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs Md. Amirul Islam M. Kowal Sen Jia Konstantinos G. Derpanis Neil D. B. Bruce 37 27 0 17 Aug 2021
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli Ayan Chakrabarti Daniel Glasner Daliang Li Thomas Unterthiner Andreas Veit ViT 61 382 0 26 Mar 2021
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction Cunjun Yu Xiao Ma Jiawei Ren Haiyu Zhao Shuai Yi 48 466 0 18 May 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 120 330 0 18 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 125 958 0 06 Nov 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 193 7,554 0 01 Oct 2018
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 536 28,901 0 09 Sep 2016