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1903.02428
Cited By
Fast Graph Representation Learning with PyTorch Geometric
6 March 2019
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
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Papers citing
"Fast Graph Representation Learning with PyTorch Geometric"
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Title
Link Prediction using Graph Neural Networks for Master Data Management
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Srinivas Parkala
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Sumit Bhatia
Gayatri Mishra
Matheen Ahmed Pasha
Hima Patel
Somashekar Naganna
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07 Mar 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
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696
0
07 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing
Julian Busch
Jiaxing Pi
T. Seidl
GNN
19
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0
04 Mar 2020
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
183
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03 Mar 2020
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
186
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02 Mar 2020
Towards a predictive spatio-temporal representation of brain data
Tiago Azevedo
L. Passamonti
Pietro Lió
N. Toschi
9
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0
29 Feb 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine
P. Corcoran
10
5
0
29 Feb 2020
Semi-supervised Anomaly Detection on Attributed Graphs
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
8
37
0
27 Feb 2020
On Feature Normalization and Data Augmentation
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
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134
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25 Feb 2020
Adaptive Propagation Graph Convolutional Network
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
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71
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24 Feb 2020
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wenhan Wang
Ge Li
Bo Ma
Xin Xia
Zhi Jin
GNN
7
249
0
20 Feb 2020
On Learning Sets of Symmetric Elements
Haggai Maron
Or Litany
Gal Chechik
Ethan Fetaya
20
132
0
20 Feb 2020
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
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607
0
19 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Han Yang
Xiao Yan
XINYAN DAI
Yongqiang Chen
James Cheng
6
36
0
18 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
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482
0
12 Feb 2020
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
37
319
0
10 Feb 2020
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
Shuo Wang
Yanran Li
Jiang Zhang
Qingye Meng
Lingwei Meng
Fei Gao
25
134
0
10 Feb 2020
GLSearch: Maximum Common Subgraph Detection via Learning to Search
Yunsheng Bai
Derek Xu
Yizhou Sun
Wei Wang
GNN
12
31
0
08 Feb 2020
Message Passing Query Embedding
Daniel Daza
Michael Cochez
GNN
17
7
0
06 Feb 2020
Structure-Feature based Graph Self-adaptive Pooling
Liang Zhang
Xudong Wang
Hongsheng Li
Guangming Zhu
Peiyi Shen
P. Li
Xiaoyuan Lu
Syed Afaq Ali Shah
Bennamoun
16
62
0
30 Jan 2020
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
Leonardo F. R. Ribeiro
Yue Zhang
Claire Gardent
Iryna Gurevych
12
72
0
29 Jan 2020
Tri-graph Information Propagation for Polypharmacy Side Effect Prediction
Hao Xu
Shengqi Sang
Haiping Lu
10
13
0
28 Jan 2020
Characterizing and Understanding GCNs on GPU
Mingyu Yan
Zhaodong Chen
Lei Deng
Xiaochun Ye
Zhimin Zhang
Dongrui Fan
Yuan Xie
BDL
GNN
9
62
0
28 Jan 2020
Deep Graph Matching Consensus
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
19
207
0
27 Jan 2020
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data
Valentina Shumovskaia
Kirill Fedyanin
I. Sukharev
Dmitry Berestnev
Maxim Panov
6
26
0
23 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
Mingyu Yan
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Dongrui Fan
Yuan Xie
GNN
22
287
0
07 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
A. Micheli
Marco Podda
AI4CE
GNN
32
276
0
29 Dec 2019
How Robust Are Graph Neural Networks to Structural Noise?
James Fox
S. Rajamanickam
NoLa
OOD
10
21
0
21 Dec 2019
A Fair Comparison of Graph Neural Networks for Graph Classification
Federico Errica
Marco Podda
D. Bacciu
A. Micheli
FaML
8
436
0
20 Dec 2019
When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
Tian Lan
Xian-Ling Mao
Heyan Huang
Wei Wei
14
5
0
20 Dec 2019
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction
David Friede
Jovita Lukasik
Heiner Stuckenschmidt
M. Keuper
GNN
BDL
DRL
14
8
0
11 Dec 2019
SGAS: Sequential Greedy Architecture Search
G. Li
Guocheng Qian
Itzel C. Delgadillo
Matthias Muller
Ali K. Thabet
Bernard Ghanem
3DPC
17
183
0
30 Nov 2019
Graph-Revised Convolutional Network
Donghan Yu
Ruohong Zhang
Zhengbao Jiang
Yuexin Wu
Yiming Yang
GNN
19
96
0
17 Nov 2019
On the choice of graph neural network architectures
Clément Vignac
Guillermo Ortiz-Jiménez
P. Frossard
GNN
22
9
0
13 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network
Deli Chen
Xiaoqian Liu
Yankai Lin
Peng Li
Jie Zhou
Qi Su
Xu Sun
GNN
15
2
0
10 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
11
809
0
08 Nov 2019
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski
Stephan Günnemann
AAML
20
122
0
31 Oct 2019
Balancing Multi-level Interactions for Session-based Recommendation
Yujia Zheng
Siyi Liu
Zailei Zhou
14
12
0
29 Oct 2019
Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions
Fabio Capela
Vincent Nouchi
R. V. Deursen
Igor V. Tetko
Guillaume Godin
AI4CE
11
19
0
29 Oct 2019
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
20
681
0
28 Oct 2019
Understanding Isomorphism Bias in Graph Data Sets
Sergei Ivanov
Sergei Sviridov
E. Burnaev
FaML
AI4CE
19
37
0
26 Oct 2019
Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Prediction
Daniel T. Chang
AI4CE
GNN
12
3
0
24 Oct 2019
Graph Representation learning for Audio & Music genre Classification
Shubham Dokania
Vasudev Singh
GNN
20
8
0
23 Oct 2019
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics
Taras Khakhulin
R. Schutski
Ivan V. Oseledets
17
0
0
18 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
G. Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Bernard Ghanem
3DPC
GNN
24
167
0
15 Oct 2019
Effective Stabilized Self-Training on Few-Labeled Graph Data
Ziang Zhou
Jieming Shi
Shengzhong Zhang
Zengfeng Huang
Qing Li
23
12
0
07 Oct 2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks
Tengfei Ma
Junyuan Shang
Cao Xiao
Jimeng Sun
GNN
17
13
0
04 Oct 2019
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection
Thomas Magelinski
David M. Beskow
Kathleen M. Carley
17
27
0
02 Oct 2019
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving
M. Huegle
Gabriel Kalweit
M. Werling
Joschka Boedecker
3DPC
17
36
0
30 Sep 2019
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification
Albert Mosella-Montoro
Javier Ruiz-Hidalgo
3DPC
23
8
0
30 Sep 2019
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