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Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

3 September 2019
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
Qi Huang
Jinjing Zhou
Chao Ma
Lingfan Yu
Ziyue Huang
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
    AI4CE
    GNN
ArXivPDFHTML

Papers citing "Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks"

50 / 105 papers shown
Title
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
Guillaume Jaume
Pushpak Pati
Valentin Anklin
A. Foncubierta
M. Gabrani
35
45
0
21 Jul 2021
Multi-modal Graph Learning for Disease Prediction
Multi-modal Graph Learning for Disease Prediction
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Zhenyu Guo
Yang Liu
Yao Zhao
26
97
0
01 Jul 2021
Scalable Graph Neural Network Training: The Case for Sampling
Scalable Graph Neural Network Training: The Case for Sampling
Marco Serafini
Hui Guan
GNN
41
23
0
05 May 2021
GraphTheta: A Distributed Graph Neural Network Learning System With
  Flexible Training Strategy
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
44
11
0
21 Apr 2021
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection
Salman Khan
Fabio Cuzzolin
3DPC
51
5
0
16 Apr 2021
Enhancing Word-Level Semantic Representation via Dependency Structure
  for Expressive Text-to-Speech Synthesis
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis
Yixuan Zhou
Changhe Song
Jingbei Li
Zhiyong Wu
Yanyao Bian
Dan Su
Helen Meng
38
6
0
14 Apr 2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level
  Sentiment Classification
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
Xiaochen Hou
Peng Qi
Guangtao Wang
Rex Ying
Jing Huang
Xiaodong He
Bowen Zhou
33
59
0
12 Mar 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels
  using Tissue Graphs
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Valentin Anklin
Pushpak Pati
Guillaume Jaume
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Jean-Philippe Thiran
M. Sibony
M. Gabrani
O. Goksel
59
38
0
04 Mar 2021
Adversarial Attack on Network Embeddings via Supervised Network
  Poisoning
Adversarial Attack on Network Embeddings via Supervised Network Poisoning
Viresh Gupta
Tanmoy Chakraborty
AAML
28
12
0
14 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural
  Networks
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi
Layla El Asri
Seyed Mehran Kazemi
GNN
SSL
19
158
0
09 Feb 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric
Efficient Graph Deep Learning in TensorFlow with tf_geometric
Jun Hu
Shengsheng Qian
Quan Fang
Youze Wang
Quan Zhao
Huaiwen Zhang
Changsheng Xu
GNN
31
53
0
27 Jan 2021
A Generalization of Transformer Networks to Graphs
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi
Xavier Bresson
AI4CE
18
720
0
17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Understanding graph embedding methods and their applications
Understanding graph embedding methods and their applications
Mengjia Xu
23
128
0
15 Dec 2020
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping
Fatemeh Teimury
Bruno Roy
Juan Sebastián Casallas
David MacDonald
Mark J. Coates
AI4CE
37
2
0
27 Nov 2020
Quantifying Explainers of Graph Neural Networks in Computational
  Pathology
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
FAtt
26
76
0
25 Nov 2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal
  Graph Embedding
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang
Ding Lyu
Mengjian Li
Yang Xia
Qi Yang
...
Xinguang Wang
Ping Cui
Yupu Yang
Bowen Sun
Zhenyu Guo
GNN
29
136
0
23 Nov 2020
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Chao-chao Yan
Qianggang Ding
P. Zhao
Shuangjia Zheng
Jinyu Yang
Yang Yu
Junzhou Huang
25
107
0
04 Nov 2020
Relational Graph Learning on Visual and Kinematics Embeddings for
  Accurate Gesture Recognition in Robotic Surgery
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery
Yonghao Long
J. Wu
Bo Lu
Yueming Jin
Mathias Unberath
Yunhui Liu
Pheng Ann Heng
Qi Dou
21
39
0
03 Nov 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph
  Neural Networks
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Nhat Vu
My T. Thai
BDL
16
327
0
12 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
30
225
0
30 Sep 2020
Double Graph Based Reasoning for Document-level Relation Extraction
Double Graph Based Reasoning for Document-level Relation Extraction
Shuang Zeng
Runxin Xu
Baobao Chang
Lei Li
23
223
0
29 Sep 2020
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule
  Properties
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
Zeren Shui
George Karypis
29
62
0
26 Sep 2020
Learning Graph Normalization for Graph Neural Networks
Learning Graph Normalization for Graph Neural Networks
Yihao Chen
Xin Tang
Xianbiao Qi
Chun-Guang Li
Rong Xiao
AI4CE
14
50
0
24 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
Santosh Pandey
Lingda Li
A. Hoisie
Xin Li
Hang Liu
20
60
0
18 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for
  unsupervised graph representation learning
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Costas Mavromatis
George Karypis
14
54
0
15 Sep 2020
Systematic Generalization on gSCAN with Language Conditioned Embedding
Systematic Generalization on gSCAN with Language Conditioned Embedding
Tong Gao
Qi Huang
Raymond J. Mooney
16
22
0
11 Sep 2020
Few-shot link prediction via graph neural networks for Covid-19
  drug-repurposing
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
V. Ioannidis
Da Zheng
George Karypis
6
50
0
20 Jul 2020
Deep Graph Library Optimizations for Intel(R) x86 Architecture
Deep Graph Library Optimizations for Intel(R) x86 Architecture
Sasikanth Avancha
Md. Vasimuddin
Sanchit Misra
Ramanarayan Mohanty
GNN
AI4CE
8
4
0
13 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Gustav Sourek
F. Železný
Ondrej Kuzelka
NAI
41
17
0
13 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for
  Graph Neural Networks
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
Guyue Huang
Guohao Dai
Yu Wang
Huazhong Yang
GNN
24
121
0
07 Jul 2020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for
  Histopathological Image Classification
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
Pushpak Pati
Guillaume Jaume
Lauren Alisha Fernandes
A. Foncubierta
Florinda Feroce
...
G. Botti
O. Goksel
Jean-Philippe Thiran
Maria Frucci
M. Gabrani
21
69
0
01 Jul 2020
Data-Driven Discovery of Molecular Photoswitches with Multioutput Gaussian Processes
Ryan-Rhys Griffiths
Jake L. Greenfield
Aditya R. Thawani
Arian R. Jamasb
Henry B. Moss
Anthony Bourached
Penelope Jones
William McCorkindale
Alexander A. Aldrick
Matthew J. Fuchter Alpha A. Lee
25
13
0
28 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
38
931
0
17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism
  Counting
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
S. Zafeiriou
M. Bronstein
58
424
0
16 Jun 2020
Optimization and Generalization Analysis of Transduction through
  Gradient Boosting and Application to Multi-scale Graph Neural Networks
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
37
31
0
15 Jun 2020
Global Attention Improves Graph Networks Generalization
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
27
22
0
14 Jun 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN
  Acceleration on GPUs
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
Yuke Wang
Boyuan Feng
Gushu Li
Shuangchen Li
Lei Deng
Yuan Xie
Yufei Ding
GNN
13
121
0
11 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma
Shuangrui Ding
Qiaozhu Mei
AAML
17
119
0
09 Jun 2020
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via
  Cycle Training
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
Qipeng Guo
Zhijing Jin
Xipeng Qiu
Weinan Zhang
David Wipf
Zheng-Wei Zhang
46
60
0
08 Jun 2020
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep
  Learning
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning
Xiangxiang Zeng
Xiang Song
Tengfei Ma
Xiaoqing Pan
Yadi Zhou
Y. Hou
Zheng-Wei Zhang
George Karypis
F. Cheng
12
194
0
21 May 2020
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured
  Webpages
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
Colin Lockard
Prashant Shiralkar
Xin Luna Dong
Hannaneh Hajishirzi
18
53
0
14 May 2020
Reducing Communication in Graph Neural Network Training
Reducing Communication in Graph Neural Network Training
Alok Tripathy
Katherine Yelick
A. Buluç
GNN
22
104
0
07 May 2020
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Zhicheng Liu
Fabio Miranda
Weiting Xiong
Junyan Yang
Qiao Wang
Claudio T. Silva
AI4TS
20
70
0
04 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
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
30
2,652
0
02 May 2020
Heterogeneous Network Representation Learning: A Unified Framework with
  Survey and Benchmark
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
Carl Yang
Yuxin Xiao
Yu Zhang
Yizhou Sun
Jiawei Han
AI4TS
46
57
0
01 Apr 2020
Probabilistic Dual Network Architecture Search on Graphs
Probabilistic Dual Network Architecture Search on Graphs
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lió
M. Jamnik
GNN
AI4CE
51
27
0
21 Mar 2020
Adversarial Robustness for Code
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
14
89
0
11 Feb 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
42
277
0
29 Dec 2019
Discourse-Aware Neural Extractive Text Summarization
Discourse-Aware Neural Extractive Text Summarization
Jiacheng Xu
Zhe Gan
Yu Cheng
Jingjing Liu
BDL
43
277
0
30 Oct 2019
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