Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning

4 April 2021

Zi Huang

Papers citing "Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning"

28 / 28 papers shown

Title
Meta-path Free Semi-supervised Learning for Heterogeneous Networks Shin-woo Park Byunguk Bae Jinyoung Yeo Seung-won Hwang 35 1 0 18 Oct 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 41 32 0 02 Sep 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 266 1,200 0 03 Mar 2020
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 127 970 0 06 Nov 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding Yu He Yangqiu Song Jianxin Li Cheng Ji Jian Peng Hao Peng 41 111 0 07 Sep 2019
Task-Guided Pair Embedding in Heterogeneous Network Chanyoung Park Donghyun Kim Qi Zhu Jiawei Han Hwanjo Yu 39 19 0 04 Jun 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 160 2,965 0 20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 76 1,812 0 20 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 57 432 0 05 May 2019
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 120 2,382 0 27 Sep 2018
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 133 2,417 0 20 Aug 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 236 3,524 0 06 Jun 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 137 1,513 0 30 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 426 20,089 0 30 Oct 2017
Learning Graph Representations with Embedding Propagation Alberto García-Durán Mathias Niepert GNN SSL 76 167 0 09 Oct 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec J. Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang 74 915 0 09 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 628 130,942 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 452 15,179 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 466 7,431 0 04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 178 4,807 0 17 Mar 2017
DeepCas: an End-to-end Predictor of Information Cascades Cheng Li Jiaqi Ma Xiaoxiao Guo Qiaozhu Mei GNN 48 327 0 16 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 577 28,999 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 183 10,856 0 03 Jul 2016
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks Jian Tang Meng Qu Qiaozhu Mei AI4TS SSL 77 789 0 02 Aug 2015
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 136 5,330 0 12 Mar 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 252 9,769 0 26 Mar 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 189 4,870 0 21 Dec 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 627 31,469 0 16 Jan 2013