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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,540 papers shown
Title
A General Framework for quantifying Aleatoric and Epistemic uncertainty
  in Graph Neural Networks
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks
Sai Munikoti
D. Agarwal
Laya Das
Balasubramaniam Natarajan
BDLUD
90
13
0
20 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Towards Explanation for Unsupervised Graph-Level Representation Learning
Qinghua Zheng
Jihong Wang
Minnan Luo
Yaoliang Yu
Jundong Li
L. Yao
Xiao Chang
86
1
0
20 May 2022
Representation Power of Graph Neural Networks: Improved Expressivity via
  Algebraic Analysis
Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis
Charilaos I. Kanatsoulis
Alejandro Ribeiro
63
4
0
19 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
123
57
0
19 May 2022
Are Graph Representation Learning Methods Robust to Graph Sparsity and
  Asymmetric Node Information?
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information?
P. Sevestre
M. Neyret
66
0
0
19 May 2022
A Simple Yet Effective SVD-GCN for Directed Graphs
A Simple Yet Effective SVD-GCN for Directed Graphs
Chunya Zou
Andi Han
Lequan Lin
Junbin Gao
GNN
102
7
0
19 May 2022
Routing and Placement of Macros using Deep Reinforcement Learning
Routing and Placement of Macros using Deep Reinforcement Learning
Mrinal Mathur
123
0
0
19 May 2022
Spatial-Temporal Interactive Dynamic Graph Convolution Network for
  Traffic Forecasting
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
Aoyun Liu
Yaying Zhang
GNNAI4TS
84
33
0
18 May 2022
Generic and Trend-aware Curriculum Learning for Relation Extraction in
  Graph Neural Networks
Generic and Trend-aware Curriculum Learning for Relation Extraction in Graph Neural Networks
Nidhi Vakil
Hadi Amiri
125
10
0
17 May 2022
KGNN: Distributed Framework for Graph Neural Knowledge Representation
KGNN: Distributed Framework for Graph Neural Knowledge Representation
Binbin Hu
Zhiyang Hu
Qing Cui
Jun Zhou
Chuan Shi
GNN
34
3
0
17 May 2022
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networks
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINNAI4CE
131
41
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
74
10
0
15 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting
  Heterophily
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li
Renyu Zhu
Yao Cheng
Caihua Shan
Siqiang Luo
Dongsheng Li
Wei Qian
98
196
0
15 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural
  Networks from Multi-order Interactions
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Fang Wu
Siyuan Li
Lirong Wu
Dragomir R. Radev
Stan Z. Li
109
3
0
15 May 2022
Fake News Quick Detection on Dynamic Heterogeneous Information Networks
Fake News Quick Detection on Dynamic Heterogeneous Information Networks
Jin Ho Go
Alina Sari
Jiaojiao Jiang
Shuiqiao Yang
S. Jha
GNN
36
1
0
14 May 2022
BronchusNet: Region and Structure Prior Embedded Representation Learning
  for Bronchus Segmentation and Classification
BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification
Wenhao Huang
Haifan Gong
Huan Zhang
Yu Wang
Haofeng Li
Guanbin Li
H. Shen
56
4
0
14 May 2022
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
Shengyao Lu
Bang Liu
Keith G. Mills
Shangling Jui
Di Niu
AI4TS
81
8
0
13 May 2022
GPN: A Joint Structural Learning Framework for Graph Neural Networks
GPN: A Joint Structural Learning Framework for Graph Neural Networks
Qianggang Ding
Deheng Ye
Tingyang Xu
P. Zhao
52
0
0
12 May 2022
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for
  Camera Relocalization
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization
Ran Cheng
Xinyu Jiang
Yuan Chen
Lige Liu
Tao Sun
48
1
0
12 May 2022
Hyperspectral Image Classification With Contrastive Graph Convolutional
  Network
Hyperspectral Image Classification With Contrastive Graph Convolutional Network
Wentao Yu
Sheng Wan
Guangyu Li
Jian Yang
Chen Gong
108
27
0
11 May 2022
A Survey on Fairness for Machine Learning on Graphs
A Survey on Fairness for Machine Learning on Graphs
Charlotte Laclau
C. Largeron
Manvi Choudhary
FaML
91
24
0
11 May 2022
NDGGNET-A Node Independent Gate based Graph Neural Networks
NDGGNET-A Node Independent Gate based Graph Neural Networks
Ye Tang
Xuesong Yang
Xinrui Liu
Xiwei Zhao
Zhangang Lin
Changping Peng
GNN
65
0
0
11 May 2022
Flow Completion Network: Inferring the Fluid Dynamics from Incomplete
  Flow Information using Graph Neural Networks
Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks
Xiaodong He
Yinan Wang
Juan Li
GNN
55
22
0
10 May 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage
  Processing Architectures
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures
Yunjae Lee
Jin-Won Chung
Minsoo Rhu
GNN
60
52
0
10 May 2022
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks
Yu-Lin Zhuang
Lingjuan Lyu
Chuan Shi
Carl Yang
Lichao Sun
63
18
0
08 May 2022
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation
  Extraction
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction
Yiwei Wang
Muhao Chen
Wenxuan Zhou
Yujun Cai
Yuxuan Liang
Bryan Hooi
GNN
42
9
0
08 May 2022
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with
  Graph Information Bottleneck
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck
Kaizhong Zheng
Shujian Yu
Baojuan Li
Robert Jenssen
Badong Chen
AI4MH
100
10
0
07 May 2022
LPGNet: Link Private Graph Networks for Node Classification
LPGNet: Link Private Graph Networks for Node Classification
Aashish Kolluri
Teodora Baluta
Bryan Hooi
Prateek Saxena
113
27
0
06 May 2022
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural
  Networks
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks
Jiongyu Guo
Defang Chen
Can Wang
FedML
48
4
0
05 May 2022
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning
Yongqi Zhang
Zhanke Zhou
Quanming Yao
Yong Li
67
13
0
05 May 2022
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online
  Video Services
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services
Fan Zhang
Qiuying Peng
Yu-Liang Wu
Zheng Pan
Rong Zeng
David Lin
Ye Qi
70
6
0
05 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
Song Wang
Yushun Dong
Xiao Huang
Chen Chen
Jundong Li
71
23
0
05 May 2022
Using Constraint Programming and Graph Representation Learning for
  Generating Interpretable Cloud Security Policies
Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies
Mikhail Kazdagli
Mohit Tiwari
Akshat Kumar
36
3
0
02 May 2022
Graph Anisotropic Diffusion
Graph Anisotropic Diffusion
Ahmed A. A. Elhag
Gabriele Corso
Hannes Stärk
Michael M. Bronstein
DiffMGNN
67
0
0
30 Apr 2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally
  Contrastive Learning
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Cuiying Huo
Dongxiao He
Peican Zhu
Di Jin
Jianwu Dang
Weixiong Zhang
Witold Pedrycz
Lingfei Wu
SSL
72
4
0
30 Apr 2022
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive
  Learning
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Yun Zhu
Jianhao Guo
Fei Wu
Siliang Tang
85
22
0
29 Apr 2022
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum
  Phishing Scams Detection
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
Sijia Li
Gaopeng Gou
Chang Liu
Chengshang Hou
Zhenzhen Li
G. Xiong
GNN
45
95
0
28 Apr 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph
  Neural Network Inference
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference
Rishov Sarkar
Stefan Abi-Karam
Yuqiang He
Lakshmi Sathidevi
Cong Hao
AI4CEGNN
101
31
0
27 Apr 2022
LiftPool: Lifting-based Graph Pooling for Hierarchical Graph
  Representation Learning
LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning
Mingxing Xu
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
26
5
0
27 Apr 2022
GTNet: A Tree-Based Deep Graph Learning Architecture
GTNet: A Tree-Based Deep Graph Learning Architecture
Nan Wu
Chaofan Wang
34
5
0
27 Apr 2022
Discovering Representative Attribute-stars via Minimum Description
  Length
Discovering Representative Attribute-stars via Minimum Description Length
Jiahong Liu
Min Zhou
Philippe Fournier-Viger
Menglin Yang
Lujia Pan
M. Nouioua
46
8
0
27 Apr 2022
SCGC : Self-Supervised Contrastive Graph Clustering
SCGC : Self-Supervised Contrastive Graph Clustering
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
111
10
0
27 Apr 2022
Unified GCNs: Towards Connecting GCNs with CNNs
Unified GCNs: Towards Connecting GCNs with CNNs
Ziyan Zhang
Bo Jiang
Bin Luo
GNN
88
1
0
26 Apr 2022
Graph Neural Networks for Microbial Genome Recovery
Graph Neural Networks for Microbial Genome Recovery
Andre Lamurias
Alessandro Tibo
Katja Hose
M. Albertsen
Thomas D. Nielsen
13
2
0
26 Apr 2022
Completing Networks by Learning Local Connection Patterns
Completing Networks by Learning Local Connection Patterns
Zhang Zhang
Ruyi Tao
Yongzai Tao
Mingze Qi
Jiang Zhang
GNN
87
0
0
25 Apr 2022
Empowering Next POI Recommendation with Multi-Relational Modeling
Empowering Next POI Recommendation with Multi-Relational Modeling
Zhengxiong Huang
Jing Ma
Yushun Dong
N. Foutz
Jundong Li
54
23
0
24 Apr 2022
Optimizing Task Placement and Online Scheduling for Distributed GNN
  Training Acceleration
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration
Ziyue Luo
Yixin Bao
Chuan Wu
GNN
45
9
0
24 Apr 2022
On Leveraging Variational Graph Embeddings for Open World Compositional
  Zero-Shot Learning
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning
Muhammad Umer Anwaar
Zhihui Pan
M. Kleinsteuber
OCLBDLCoGe
80
10
0
23 Apr 2022
Reinforced Causal Explainer for Graph Neural Networks
Reinforced Causal Explainer for Graph Neural Networks
Xiang Wang
Y. Wu
An Zhang
Fuli Feng
Xiangnan He
Tat-Seng Chua
CML
128
47
0
23 Apr 2022
All-optical graph representation learning using integrated diffractive
  photonic computing units
All-optical graph representation learning using integrated diffractive photonic computing units
Tao Yan
Rui Yang
Ziyang Zheng
Xing Lin
H. Xiong
Qionghai Dai
GNN
54
60
0
23 Apr 2022
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