Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks

3 December 2023

Randy Paffenroth

Papers citing "Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks"

24 / 24 papers shown

Title
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis V. Ioannidis Shen Wang Da Zheng Soji Adeshina Jun Ma Han Zhao Christos Faloutsos George Karypis 59 30 0 20 Apr 2023
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao Meng Qu Chaozhuo Li Hao Yan Qian Liu Rui Li Xing Xie Jian Tang VLM 80 140 0 26 Oct 2022
Message passing all the way up Petar Velickovic 136 66 0 22 Feb 2022
Graph Structural Attack by Perturbing Spectral Distance Lu Lin Ethan Blaser Hongning Wang AAML 23 30 0 01 Nov 2021
GIPA: General Information Propagation Algorithm for Graph Learning Qinkai Zheng Houyi Li Peng Zhang Zhixiong Yang Guowei Zhang Xintan Zeng Yongchao Liu 58 9 0 13 May 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 59 12 0 30 Dec 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 74 283 0 27 Oct 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 70 271 0 23 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 177 440 0 13 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Qing Cui Jun Zhou Shuang Yang Le Song Yuan Qi 83 48 0 10 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 289 2,725 0 02 May 2020
Graph Representation Learning: A Survey Fenxiao Chen Yun Cheng Wang Bin Wang C.-C. Jay Kuo GNN AI4TS 51 205 0 03 Sep 2019
Green AI Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni 102 1,134 0 22 Jul 2019
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 142 1,272 0 20 May 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 692 8,496 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.0K 5,493 0 20 Dec 2018
Machine learning for Internet of Things data analysis: A survey Mohammad Saeid Mahdavinejad M. Rezvan M. Barekatain Peyman Adibi Payam Barnaghi A. Sheth 48 900 0 17 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 438 20,089 0 30 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 95 1,790 0 22 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 464 15,179 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 589 28,999 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 186 10,856 0 03 Jul 2016
Complex Embeddings for Simple Link Prediction Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard BDL 88 2,967 0 20 Jun 2016
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 637 31,469 0 16 Jan 2013