Improving Attention Mechanism in Graph Neural Networks via Cardinality
Preservation

Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation

4 July 2019

Shuo-feng Zhang

Lei Xie

Papers citing "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation"

9 / 9 papers shown

Title
LGIN: Defining an Approximately Powerful Hyperbolic GNN Srinitish Srinivasan Omkumar CU AI4CE 43 0 0 31 Mar 2025
A Survey on Graph Classification and Link Prediction based on GNN Xingyu Liu Juan Chen Q. Wen GNN 23 10 0 03 Jul 2023
CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery Abhijit Gupta 18 0 0 03 Jul 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 31 4 0 12 May 2023
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 25 1 0 26 Apr 2022
Node-wise Hardware Trojan Detection Based on Graph Learning Kento Hasegawa Kazuki Yamashita Seira Hidano Kazuhide Fukushima Kazuo Hashimoto N. Togawa 17 24 0 04 Dec 2021
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015