v1v2 (latest)

Pre-train and Learn: Preserve Global Information for Graph Neural Networks

27 October 2019

Papers citing "Pre-train and Learn: Preserve Global Information for Graph Neural Networks"

22 / 22 papers shown

Title
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis Qunzhong Wang Xiangguo Sun Hong Cheng 134 5 0 02 Oct 2024
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 162 373 0 03 Jul 2020
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 93 497 0 11 Jun 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 97 916 0 30 Apr 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning Yang Gao Hong Yang Peng Zhang Chuan Zhou Yue Hu AI4CE GNN 66 100 0 22 Apr 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,694 0 14 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 518 1,990 0 09 Jun 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification Sami Abu-El-Haija Amol Kapoor Bryan Perozzi Joonseok Lee GNN SSL 76 260 0 24 Feb 2018
Learning to Make Predictions on Graphs with Autoencoders Phi Vu Tran GNN SSL AI4CE 59 57 0 23 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 149 1,517 0 30 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 194 2,830 0 22 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 87 647 0 12 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 786 132,363 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 662 29,156 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,906 0 03 Jul 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 174 2,105 0 29 Mar 2016
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 142 5,337 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 263 9,800 0 26 Mar 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 402 33,560 0 16 Oct 2013