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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 / 103 papers shown
Title
Top Ten Challenges Towards Agentic Neural Graph Databases
Top Ten Challenges Towards Agentic Neural Graph Databases
Jiaxin Bai
Zehua Wang
Yukun Zhou
hang Yin
Weizhi Fei
...
Binhang Yuan
Wei Wang
Lei Chen
Xiaofang Zhou
Yangqiu Song
109
0
0
24 Jan 2025
Reconsidering the Performance of GAE in Link Prediction
Reconsidering the Performance of GAE in Link Prediction
Weishuo Ma
Yanbo Wang
Xuben Wang
Muhan Zhang
36
1
0
06 Nov 2024
Leiden-Fusion Partitioning Method for Effective Distributed Training of
  Graph Embeddings
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings
Yuhe Bai
Camélia Constantin
Hubert Naacke
GNN
25
4
0
15 Sep 2024
Neighbour-level Message Interaction Encoding for Improved Representation
  Learning on Graphs
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs
Haimin Zhang
Min Xu
GNN
38
0
0
15 Apr 2024
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic
  Communication Paradigm
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
Chunhang Zheng
Kechao Cai
25
0
0
27 Mar 2024
Better Schedules for Low Precision Training of Deep Neural Networks
Better Schedules for Low Precision Training of Deep Neural Networks
Cameron R. Wolfe
Anastasios Kyrillidis
47
1
0
04 Mar 2024
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
Haolin Li
Shuyang Jiang
Lifeng Zhang
Siyuan Du
Guangnan Ye
Hongfeng Chai
24
0
0
27 Feb 2024
Syntactic Fusion: Enhancing Aspect-Level Sentiment Analysis Through
  Multi-Tree Graph Integration
Syntactic Fusion: Enhancing Aspect-Level Sentiment Analysis Through Multi-Tree Graph Integration
Jane Sunny
Tom Padraig
Roggie Terry
Woods Ali
34
0
0
28 Nov 2023
GSLB: The Graph Structure Learning Benchmark
GSLB: The Graph Structure Learning Benchmark
Zhixun Li
Liang Wang
Xin Sun
Yifan Luo
Yanqiao Zhu
...
Xiangxin Zhou
Qiang Liu
Shu Wu
Liang Wang
Jeffrey Xu Yu
45
34
0
08 Oct 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with
  Dynamic Graphs
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs
Jiawen Wang
Quan Chen
Deze Zeng
Zhuo Song
Chen Chen
Minyi Guo
GNN
34
2
0
27 Sep 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference
VertexSerum: Poisoning Graph Neural Networks for Link Inference
Ruyi Ding
Shijin Duan
Xiaolin Xu
Yunsi Fei
AAML
GNN
48
4
0
02 Aug 2023
Transferable Graph Neural Fingerprint Models for Quick Response to
  Future Bio-Threats
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats
Wei Chen
Yihui Ren
Ai Kagawa
Matthew R. Carbone
Sam Yen-Chi Chen
...
Austin R. Clyde
Arvind Ramanathan
R. Stevens
Hubertus Van Dam
D. Lu
OOD
29
2
0
17 Jul 2023
Source-Aware Embedding Training on Heterogeneous Information Networks
Source-Aware Embedding Training on Heterogeneous Information Networks
Tsai Hor Chan
Chi Ho Wong
Jiajun Shen
Guosheng Yin
32
5
0
10 Jul 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
45
23
0
23 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Xinyu Fu
Irwin King
FedML
41
4
0
16 May 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu
Leilei Sun
Bowen Du
Weifeng Lv
AI4CE
29
96
0
23 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu
Tongya Zheng
Guanzheng Zhang
Qinfen Hao
33
8
0
27 Feb 2023
Learning to Substitute Ingredients in Recipes
Learning to Substitute Ingredients in Recipes
Bahare Fatemi
Quentin Duval
Rohit Girdhar
M. Drozdzal
Adriana Romero Soriano
29
7
0
15 Feb 2023
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware
  Communication Compression
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
Jaeyong Song
Jinkyu Yim
Jaewon Jung
Hongsun Jang
H. Kim
Youngsok Kim
Jinho Lee
GNN
24
25
0
24 Jan 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in
  Prostate Cancer
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Pushpak Pati
Guillaume Jaume
Zeineb Ayadi
Kevin Thandiackal
Behzad Bozorgtabar
M. Gabrani
O. Goksel
20
17
0
07 Jan 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Chunyang Wang
Desen Sun
Yunru Bai
GNN
AI4CE
50
15
0
01 Jan 2023
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
Xumeng Gong
Cheng Yang
Chuan Shi
VLM
22
41
0
14 Dec 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
36
7
0
26 Nov 2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for
  Quantum Chemistry
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry
Hatem Helal
J. Firoz
Jenna A. Bilbrey
M. M. Krell
Tom Murray
Ang Li
S. Xantheas
Sutanay Choudhury
GNN
43
5
0
25 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
Qianlong Wen
Mingxuan Ju
Chuxu Zhang
Yanfang Ye
40
20
0
12 Nov 2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery
  Segmentation based on Computed Tomography Angiography Images
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
An Zeng
Chunbiao Wu
Meiping Huang
Jian Zhuang
Shanshan Bi
...
Tianchen Wang
Yiyu Shi
Xiaomeng Li
Guisen Lin
Xiaowei Xu
20
58
0
03 Nov 2022
INGREX: An Interactive Explanation Framework for Graph Neural Networks
INGREX: An Interactive Explanation Framework for Graph Neural Networks
Tien-Cuong Bui
Van-Duc Le
Wen-Syan Li
S. Cha
21
0
0
03 Nov 2022
Optimizing DNN Compilation for Distributed Training with Joint OP and
  Tensor Fusion
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion
Xiaodong Yi
Shiwei Zhang
Lansong Diao
Chuan Wu
Zhen Zheng
Shiqing Fan
Siyu Wang
Jun Yang
W. Lin
36
4
0
26 Sep 2022
Evaluating Explainability for Graph Neural Networks
Evaluating Explainability for Graph Neural Networks
Chirag Agarwal
Owen Queen
Himabindu Lakkaraju
Marinka Zitnik
51
99
0
19 Aug 2022
Learning Graph Neural Networks for Image Style Transfer
Learning Graph Neural Networks for Image Style Transfer
Yongcheng Jing
Yining Mao
Yiding Yang
Yibing Zhan
Xiuming Zhang
Xinchao Wang
Dacheng Tao
41
55
0
24 Jul 2022
Edge Direction-invariant Graph Neural Networks for Molecular Dipole
  Moments Prediction
Edge Direction-invariant Graph Neural Networks for Molecular Dipole Moments Prediction
Yang Jeong Park
GNN
23
1
0
26 Jun 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node
  Classification
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
Le Yu
Leilei Sun
Bowen Du
T. Zhu
Weifeng Lv
32
14
0
31 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional
  Networks
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks
Sumit K. Mandal
Gokul Krishnan
A. Alper Goksoy
Gopikrishnan R. Nair
Yu Cao
Ümit Y. Ogras
GNN
29
10
0
15 May 2022
A Two-Stream AMR-enhanced Model for Document-level Event Argument
  Extraction
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
Runxin Xu
Peiyi Wang
Tianyu Liu
Shuang Zeng
Baobao Chang
Zhifang Sui
36
44
0
30 Apr 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
AI4TS
AI4CE
21
20
0
20 Mar 2022
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph
  Representation Learning
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
Maya Kapoor
Joshua Melton
Michael Ridenhour
Mahalavanya Sriram
Thomas Moyer
S. Krishnan
20
0
0
05 Mar 2022
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation
  Social Network Dataset
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
Dan Saattrup Nielsen
Ryan McConville
22
72
0
23 Feb 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring
ChemicalX: A Deep Learning Library for Drug Pair Scoring
Benedek Rozemberczki
Charles Tapley Hoyt
A. Gogleva
Piotr Grabowski
Klas Karis
...
Sebastian Nilsson
M. Ughetto
Yu-Chiang Frank Wang
Tyler Derr
Benjamin M. Gyori
15
25
0
10 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural
  Networks
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
R. Waleffe
J. Mohoney
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
24
25
0
04 Feb 2022
Towards Collaborative Question Answering: A Preliminary Study
Towards Collaborative Question Answering: A Preliminary Study
Xiangkun Hu
Hang Yan
Qipeng Guo
Xipeng Qiu
Weinan Zhang
Zheng-Wei Zhang
25
0
0
24 Jan 2022
Graph attentive feature aggregation for text-independent speaker
  verification
Graph attentive feature aggregation for text-independent speaker verification
Hye-jin Shim
Ju-Sung Heo
Jae-han Park
Gareth Lee
Ha-Jin Yu
35
16
0
23 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and
  Preprocessing
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
Tianfeng Liu
Yangrui Chen
Dan Li
Chuan Wu
Yibo Zhu
Jun He
Size Zheng
Hongzheng Chen
Hongzhi Chen
Chuanxiong Guo
GNN
31
77
0
16 Dec 2021
QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core
QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core
Yuke Wang
Boyuan Feng
Yufei Ding
GNN
33
41
0
18 Nov 2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Amur Ghose
Vincent Zhang
Yingxue Zhang
Dong Li
Wulong Liu
Mark J. Coates
40
26
0
10 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of
  Graph Machine Learning
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Qinkai Zheng
Xu Zou
Yuxiao Dong
Yukuo Cen
Da Yin
Jiarong Xu
Yang Yang
Jie Tang
OOD
AAML
30
50
0
08 Nov 2021
Optimizing Sparse Matrix Multiplications for Graph Neural Networks
Optimizing Sparse Matrix Multiplications for Graph Neural Networks
Shenghao Qiu
You Liang
Zheng Wang
GNN
23
18
0
30 Oct 2021
pygrank: A Python Package for Graph Node Ranking
pygrank: A Python Package for Graph Node Ranking
Emmanouil Krasanakis
Symeon Papadopoulos
Y. Kompatsiaris
A. Symeonidis
27
3
0
18 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Yongcheng Jing
Yiding Yang
Xinchao Wang
Xiuming Zhang
Dacheng Tao
16
38
0
27 Sep 2021
Inductive Matrix Completion Using Graph Autoencoder
Inductive Matrix Completion Using Graph Autoencoder
Wei Shen
Chuheng Zhang
Yunkun Tian
Liang Zeng
Xiaonan He
Wanchun Dou
Xiaolong Xu
11
24
0
25 Aug 2021
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