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Inductive Representation Learning on Large Graphs

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXivPDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,101 papers shown
Title
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
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
44
0
0
23 Feb 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph
  Neural Networks
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
Yifan Duan
Guibin Zhang
Shilong Wang
Xiaojiang Peng
Ziqi Wang
Junyuan Mao
Hao Wu
Xinke Jiang
Kun Wang
41
6
0
22 Feb 2024
Representation Learning for Frequent Subgraph Mining
Representation Learning for Frequent Subgraph Mining
Rex Ying
Tianyu Fu
Andrew Wang
Jiaxuan You
Yu Wang
J. Leskovec
GNN
24
1
0
22 Feb 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based
  Graph Continual Learning
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi
Wonjoong Kim
Sungwon Kim
Yeonjun In
Sein Kim
Chanyoung Park
CLL
30
5
0
21 Feb 2024
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
Yongquan He
Zhihan Wang
Peng Zhang
Zhaopeng Tu
Z. Ren
37
20
0
21 Feb 2024
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
Ping Liu
Haichao Wei
Xiaochen Hou
Jianqiang Shen
Shihai He
...
Liang Wu
S. Veeraraghavan
Alex Tsun
Chen-Chen Jiang
Wenjing Zhang
30
2
0
20 Feb 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
37
18
0
20 Feb 2024
GNNavi: Navigating the Information Flow in Large Language Models by
  Graph Neural Network
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
Shuzhou Yuan
Ercong Nie
Michael Farber
Helmut Schmid
Hinrich Schütze
37
3
0
18 Feb 2024
Graph Out-of-Distribution Generalization via Causal Intervention
Graph Out-of-Distribution Generalization via Causal Intervention
Qitian Wu
Fan Nie
Chenxiao Yang
Tianyi Bao
Junchi Yan
OODD
OOD
AI4CE
42
18
0
18 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on
  Graphs
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
Shuhan Liu
Kaize Ding
OOD
29
5
0
17 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard
  Negatives
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
Shubham Gupta
Srikanta J. Bedathur
OOD
30
1
0
14 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs
Universal Link Predictor By In-Context Learning on Graphs
Kaiwen Dong
Haitao Mao
Zhichun Guo
Nitesh V. Chawla
31
4
0
12 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding
  Window Matching
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Keli Zhang
Xavier Bresson
Wei Jin
Yang You
37
23
0
07 Feb 2024
Incorporating Retrieval-based Causal Learning with Information
  Bottlenecks for Interpretable Graph Neural Networks
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks
Jiahua Rao
Jiancong Xie
Hanjing Lin
Shuangjia Zheng
Zhen Wang
Yuedong Yang
23
0
0
07 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models
On the Completeness of Invariant Geometric Deep Learning Models
Zian Li
Xiyuan Wang
Shijia Kang
Muhan Zhang
48
2
0
07 Feb 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural
  Networks
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen
Jiaxing Zhang
Jingchao Ni
Xiaoting Li
Yuchen Bian
Md. Mezbahul Islam
A. Mondal
Hua Wei
Dongsheng Luo
18
2
0
03 Feb 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve
  Classification in GNNs
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs
S. Chatterjee
Suman Kundu
8
0
0
30 Jan 2024
Graph Fairness Learning under Distribution Shifts
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
39
7
0
30 Jan 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency
  between Attribute and Graph Embedding Representations
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
Jinlu Wang
Jipeng Guo
Yanfeng Sun
Junbin Gao
Shaofan Wang
Yachao Yang
Baocai Yin
AI4CE
38
2
0
28 Jan 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical
  Learning
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
Zhishuai Li
Yunhao Nie
Ziyue Li
Lei Bai
Yisheng Lv
Rui Zhao
13
5
0
23 Jan 2024
Graph Contrastive Invariant Learning from the Causal Perspective
Graph Contrastive Invariant Learning from the Causal Perspective
Yanhu Mo
Xiao Wang
Shaohua Fan
Chuan Shi
32
14
0
23 Jan 2024
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Rei Tamaru
Yang Cheng
Steven T. Parker
Ernie Perry
Bin Ran
S. Ahn
33
0
0
23 Jan 2024
Tensor-view Topological Graph Neural Network
Tensor-view Topological Graph Neural Network
Tao Wen
Elynn Chen
Yuzhou Chen
39
9
0
22 Jan 2024
Towards Effective and General Graph Unlearning via Mutual Evolution
Towards Effective and General Graph Unlearning via Mutual Evolution
Xunkai Li
Yulin Zhao
Zhengyu Wu
Wentao Zhang
Ronghua Li
Guoren Wang
MU
33
15
0
22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning
FedGTA: Topology-aware Averaging for Federated Graph Learning
Xunkai Li
Zhengyu Wu
Wentao Zhang
Yinlin Zhu
Ronghua Li
Guoren Wang
FedML
34
17
0
22 Jan 2024
Review: Quantum Architecture Search with Unsupervised Representation Learning
Review: Quantum Architecture Search with Unsupervised Representation Learning
Yize Sun
Zixin Wu
Yunpu Ma
Volker Tresp
38
7
0
21 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Yutong Xia
Runpeng Yu
Keli Zhang
Xavier Bresson
Xinchao Wang
Roger Zimmermann
39
4
0
18 Jan 2024
Disentangled Condensation for Large-scale Graphs
Disentangled Condensation for Large-scale Graphs
Zhenbang Xiao
Shunyu Liu
Yu Wang
Tongya Zheng
Mingli Song
Mingli Song
Tongya Zheng
DD
85
6
0
18 Jan 2024
EfficientRec an unlimited user-item scale recommendation system based on
  clustering and users interaction embedding profile
EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
Vu Hong Quan
Le Hoang Ngan
Le Minh Duc
Nguyen Tran Ngoc Linh
Hoang-Quynh Le
16
0
0
18 Jan 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
45
3
0
11 Jan 2024
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction
Yu Liu
Yuexin Zhang
Kunming Li
Yongliang Qiao
Stewart Worrall
Youfu Li
He Kong
26
1
0
10 Jan 2024
A Primer on Temporal Graph Learning
A Primer on Temporal Graph Learning
Aniq Ur Rahman
J. Coon
AI4CE
42
1
0
08 Jan 2024
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New
  Framework For Traffic Flow Prediction
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction
Haiyang Liu
Chunjiang Zhu
Detian Zhang
AI4TS
24
0
0
07 Jan 2024
DocGraphLM: Documental Graph Language Model for Information Extraction
DocGraphLM: Documental Graph Language Model for Information Extraction
Dongsheng Wang
Zhiqiang Ma
Armineh Nourbakhsh
Kang Gu
Sameena Shah
38
8
0
05 Jan 2024
Towards a Foundation Purchasing Model: Pretrained Generative
  Autoregression on Transaction Sequences
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
Piotr Skalski
David Sutton
Stuart Burrell
Iker Perez
Jason Wong
AI4TS
42
2
0
03 Jan 2024
Graph-Convolutional Autoencoder Ensembles for the Humanities,
  Illustrated with a Study of the American Slave Trade
Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade
Tom Lippincott
AI4CE
21
0
0
01 Jan 2024
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral
  GCNs
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs
Stefano Fiorini
Stefano Coniglio
Michele Ciavotta
Enza Messina
GNN
29
5
0
28 Dec 2023
Learning Scalable Structural Representations for Link Prediction with
  Bloom Signatures
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
Tianyi Zhang
Haoteng Yin
Rongzhe Wei
Pan Li
Anshumali Shrivastava
AI4CE
31
1
0
28 Dec 2023
Graph Neural Networks for Antisocial Behavior Detection on Twitter
Graph Neural Networks for Antisocial Behavior Detection on Twitter
Martina Toshevska
S. Kalajdziski
Sonja Gievska
24
0
0
28 Dec 2023
Refining Latent Homophilic Structures over Heterophilic Graphs for
  Robust Graph Convolution Networks
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu
Gu Nan
Tianyu Xiong
Wendi Deng
Di Wang
Zhiyang Teng
Lijuan Sun
Qimei Cui
Xiaofeng Tao
25
5
0
27 Dec 2023
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
60
7
0
27 Dec 2023
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket
  Recommendation
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation
Zi-Feng Mai
Chang-Dong Wang
Zhongjie Zeng
Ya Li
Jiaquan Chen
Philip S. Yu
29
1
0
26 Dec 2023
A graph-based multimodal framework to predict gentrification
A graph-based multimodal framework to predict gentrification
Javad Eshtiyagh
Baotong Zhang
Yujing Sun
Linhui Wu
Zhao Wang
17
0
0
25 Dec 2023
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
Bingheng Li
Erlin Pan
Zhao Kang
24
32
0
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Fine-tuning Graph Neural Networks by Preserving Graph Generative
  Patterns
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns
Yifei Sun
Qi Zhu
Yang Yang
Chunping Wang
Tianyu Fan
Jiajun Zhu
Lei Chen
51
12
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When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
51
2
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19 Dec 2023
GCNext: Towards the Unity of Graph Convolutions for Human Motion
  Prediction
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
Xinshun Wang
Qiongjie Cui
Chong Chen
Mengyuan Liu
3DH
40
10
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Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution
  Generalization
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization
Tianrui Jia
Haoyang Li
Cheng Yang
Tao Tao
Chuan Shi
OOD
37
17
0
18 Dec 2023
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