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Fast Graph Representation Learning with PyTorch Geometric

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"

50 / 2,140 papers shown
Title
Link Prediction using Graph Neural Networks for Master Data Management
Link Prediction using Graph Neural Networks for Master Data Management
Balaji Ganesan
Srinivas Parkala
Neeraj R Singh
Sumit Bhatia
Gayatri Mishra
Matheen Ahmed Pasha
Hima Patel
Somashekar Naganna
AI4CE
19
11
0
07 Mar 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
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
11
696
0
07 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing
PushNet: Efficient and Adaptive Neural Message Passing
Julian Busch
Jiaxing Pi
T. Seidl
GNN
19
12
0
04 Mar 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
183
1,169
0
03 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
186
913
0
02 Mar 2020
Towards a predictive spatio-temporal representation of brain data
Towards a predictive spatio-temporal representation of brain data
Tiago Azevedo
L. Passamonti
Pietro Lió
N. Toschi
9
9
0
29 Feb 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine
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
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
On Feature Normalization and Data Augmentation
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
11
134
0
25 Feb 2020
Adaptive Propagation Graph Convolutional Network
Adaptive Propagation Graph Convolutional Network
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
11
71
0
24 Feb 2020
Detecting Code Clones with Graph Neural Networkand Flow-Augmented
  Abstract Syntax Tree
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
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
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
7
607
0
19 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
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
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
9
482
0
12 Feb 2020
Can Graph Neural Networks Count Substructures?
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
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
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
Message Passing Query Embedding
Daniel Daza
Michael Cochez
GNN
17
7
0
06 Feb 2020
Structure-Feature based Graph Self-adaptive Pooling
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski
Stephan Günnemann
AAML
20
122
0
31 Oct 2019
Balancing Multi-level Interactions for Session-based Recommendation
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
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
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
20
681
0
28 Oct 2019
Understanding Isomorphism Bias in Graph Data Sets
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
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
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
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
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
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
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
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
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
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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