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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 / 5,534 papers shown
Title
Label-Only Membership Inference Attack against Node-Level Graph Neural
  Networks
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
Mauro Conti
Jiaxin Li
S. Picek
Jing Xu
AAML
145
26
0
27 Jul 2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross
  Merchandise Value Forecast in E-commerce
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
Borui Ye
Shuo Yang
Binbin Hu
Qing Cui
Youqiang He
Kai Huang
Jun Zhou
Yanming Fang
80
5
0
27 Jul 2022
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review
  of the Literature
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature
Kevin Osanlou
Christophe Guettier
Tristan Cazenave
Éric Jacopin
81
3
0
26 Jul 2022
Modeling the Social Influence of COVID-19 via Personalized Propagation
  with Deep Learning
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning
Yufei Liu
Jie Cao
D. Pi
GNN
54
3
0
26 Jul 2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D
  Video Object Detection from Point Clouds
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Junbo Yin
Jianbing Shen
Xin Gao
David J. Crandall
Ruigang Yang
3DPCViT
119
61
0
26 Jul 2022
Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation
Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation
Zhouping Wang
Sarah Ostadabbas
3DH
72
5
0
25 Jul 2022
Graph neural networks for the prediction of molecular structure-property
  relationships
Graph neural networks for the prediction of molecular structure-property relationships
Jan G. Rittig
Qing-Bin Gao
Manuel Dahmen
Alexander Mitsos
Artur M. Schweidtmann
AI4CE
72
11
0
25 Jul 2022
GNN Transformation Framework for Improving Efficiency and Scalability
GNN Transformation Framework for Improving Efficiency and Scalability
Seiji Maekawa
Yuya Sasaki
G. Fletcher
Makoto Onizuka
GNN
51
1
0
25 Jul 2022
Generative Subgraph Contrast for Self-Supervised Graph Representation
  Learning
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
Yuehui Han
Le Hui
Qianliang Wu
J. Qian
Jin Xie
SSL
80
14
0
25 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory
Yuwei Hu
Jiajie Li
Zhongming Yu
Zhiru Zhang
GNN
83
0
0
25 Jul 2022
HIRE: Distilling High-order Relational Knowledge From Heterogeneous
  Graph Neural Networks
HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural Networks
Jing Liu
Tongya Zheng
Qinfen Hao
65
8
0
25 Jul 2022
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings
  through Graph Contrastive Learning
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning
Haoran Yang
Xiangyu Zhao
Muyang Li
Hongxu Chen
Guandong Xu
FedML
95
2
0
24 Jul 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and
  Applications
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu
Binchi Zhang
Yushun Dong
Chen Chen
Jundong Li
FedMLOODAI4CE
123
38
0
24 Jul 2022
Incorporating Heterogeneous User Behaviors and Social Influences for
  Predictive Analysis
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
Haobing Liu
Yanmin Zhu
Chunyang Wang
Jianyu Ding
Jiadi Yu
Feilong Tang
56
5
0
24 Jul 2022
SGAT: Simplicial Graph Attention Network
SGAT: Simplicial Graph Attention Network
See Hian Lee
Feng Ji
Wee Peng Tay
98
25
0
24 Jul 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
133
56
0
24 Jul 2022
OCTAL: Graph Representation Learning for LTL Model Checking
OCTAL: Graph Representation Learning for LTL Model Checking
Prasita Mukherjee
Haoteng Yin
Susheel Suresh
Tiark Rompf
69
4
0
24 Jul 2022
The prediction of the quality of results in Logic Synthesis using
  Transformer and Graph Neural Networks
The prediction of the quality of results in Logic Synthesis using Transformer and Graph Neural Networks
Chenghao Yang
Zhongda Wang
Yinshui Xia
Zhufei Chu
85
0
0
23 Jul 2022
Scalable training of graph convolutional neural networks for fast and
  accurate predictions of HOMO-LUMO gap in molecules
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
J. Choi
Pei Zhang
Kshitij Mehta
Andrew E. Blanchard
Massimiliano Lupo Pasini
GNNAI4CE
105
10
0
22 Jul 2022
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Jiaxuan Xie
Yezi Liu
Yanning Shen
FAtt
31
12
0
22 Jul 2022
Privacy and Transparency in Graph Machine Learning: A Unified
  Perspective
Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Megha Khosla
70
4
0
22 Jul 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
89
14
0
22 Jul 2022
Modeling User Behavior With Interaction Networks for Spam Detection
Modeling User Behavior With Interaction Networks for Spam Detection
Prabhat Agarwal
Manish Srivastava
Vishwakarma Singh
Charles R. Rosenberg
GNN
57
11
0
21 Jul 2022
Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search
Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search
Yunsheng Bai
Derek Xu
Yizhou Sun
Wei Wang
GNN
68
0
0
21 Jul 2022
Digraphwave: Scalable Extraction of Structural Node Embeddings via
  Diffusion on Directed Graphs
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs
Ciwan Ceylan
Kambiz Ghoorchian
Danica Kragic
44
1
0
20 Jul 2022
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
Ningyi Liao
Dingheng Mo
Siqiang Luo
Xiang Li
Pengcheng Yin
GNNAI4CE
69
22
0
19 Jul 2022
HICF: Hyperbolic Informative Collaborative Filtering
HICF: Hyperbolic Informative Collaborative Filtering
Menglin Yang
Zhihao Li
Min Zhou
Jiahong Liu
Irwin King
87
55
0
19 Jul 2022
Enhancing Security Patch Identification by Capturing Structures in
  Commits
Enhancing Security Patch Identification by Capturing Structures in Commits
Bozhi Wu
Shangqing Liu
Ruitao Feng
Xiaofei Xie
J. Siow
Shang-Wei Lin
53
35
0
19 Jul 2022
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature
  Interaction
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction
Zijie Yue
Miaojing Shi
SupR
88
6
0
18 Jul 2022
Demystifying Graph Convolution with a Simple Concatenation
Demystifying Graph Convolution with a Simple Concatenation
Zhiqian Chen
Zonghan Zhang
GNN
32
0
0
18 Jul 2022
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
Rui Jiao
Jiaqi Han
Wenbing Huang
Yu Rong
Yang Liu
AI4CE
103
49
0
18 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
  Networks
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu
Xueqi Ma
Yinbing Zhan
Liang Ding
Dapeng Tao
Di Lin
Wenbin Hu
Danilo Mandic
100
33
0
18 Jul 2022
FunQG: Molecular Representation Learning Via Quotient Graphs
FunQG: Molecular Representation Learning Via Quotient Graphs
H. Hajiabolhassan
Zahra Taheri
Ali Hojatnia
Yavar Taheri Yeganeh
43
8
0
18 Jul 2022
Retweet-BERT: Political Leaning Detection Using Language Features and
  Information Diffusion on Social Networks
Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks
Julie Jiang
Xiang Ren
Emilio Ferrara
53
25
0
18 Jul 2022
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Thanh Tam Nguyen
Thanh Cong Phan
Minh Hieu Nguyen
Matthias Weidlich
Hongzhi Yin
Jun Jo
Quoc Viet Hung Nguyen
MLAU
58
18
0
17 Jul 2022
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
Kyle Min
Sourya Roy
Subarna Tripathi
T. Guha
Somdeb Majumdar
78
38
0
15 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths
pathGCN: Learning General Graph Spatial Operators from Paths
Moshe Eliasof
E. Haber
Eran Treister
3DPCGNN
67
28
0
15 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling
  Model
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Haoteng Tang
Guixiang Ma
Lei Guo
Xiyao Fu
Heng-Chiao Huang
Li Zhang
77
27
0
14 Jul 2022
Anomal-E: A Self-Supervised Network Intrusion Detection System based on
  Graph Neural Networks
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks
Evan Caville
Wai Weng Lo
S. Layeghy
Marius Portmann
46
98
0
14 Jul 2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
Xiang-jian Wang
Qian Li
Dianer Yu
Guandong Xu
CMLLRM
75
16
0
14 Jul 2022
Graph CNN for Moving Object Detection in Complex Environments from
  Unseen Videos
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
Jhony H. Giraldo
S. Javed
Naoufel Werghi
T. Bouwmans
47
26
0
13 Jul 2022
Hierarchy exploitation to detect missing annotations on hierarchical
  multi-label classification
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification
Miguel Romero
F. Nakano
J. Finke
C. Rocha
C. Vens
31
0
0
13 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled
  Objective Relaxation
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Wang
Nan Wu
Hang Yang
Cong Hao
Pan Li
108
32
0
13 Jul 2022
Tuning the Geometry of Graph Neural Networks
Tuning the Geometry of Graph Neural Networks
Sowon Jeong
Claire Donnat
AI4CE
85
1
0
12 Jul 2022
Machine Learning model for gas-liquid interface reconstruction in CFD
  numerical simulations
Machine Learning model for gas-liquid interface reconstruction in CFD numerical simulations
Tamon Nakano
Alessandro Bucci
J. Gratien
T. Faney
Guillaume Charpiat
AI4CE
24
1
0
12 Jul 2022
DDI Prediction via Heterogeneous Graph Attention Networks
DDI Prediction via Heterogeneous Graph Attention Networks
Farhan Tanvir
Khaled Mohammed Saifuddin
Esra Akbas
133
1
0
12 Jul 2022
From Spectral Graph Convolutions to Large Scale Graph Convolutional
  Networks
From Spectral Graph Convolutions to Large Scale Graph Convolutional Networks
Matteo Bunino
SSLGNN
48
1
0
12 Jul 2022
SparseTIR: Composable Abstractions for Sparse Compilation in Deep
  Learning
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Zihao Ye
Ruihang Lai
Junru Shao
Tianqi Chen
Luis Ceze
167
99
0
11 Jul 2022
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Pengfei Ding
Yan Wang
Guanfeng Liu
Xiaofang Zhou
82
5
0
11 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks
Graph Generative Model for Benchmarking Graph Neural Networks
Minji Yoon
Yue Wu
John Palowitch
Bryan Perozzi
Ruslan Salakhutdinov
89
7
0
10 Jul 2022
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