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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
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and
  Feedback Propagation
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation
Prashank Kadam
97
0
0
07 Nov 2024
Financial Fraud Detection using Jump-Attentive Graph Neural Networks
Financial Fraud Detection using Jump-Attentive Graph Neural Networks
Prashank Kadam
GNN
56
1
0
07 Nov 2024
GaGSL: Global-augmented Graph Structure Learning via Graph Information
  Bottleneck
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
Shuangjie Li
Jiangqing Song
Baoming Zhang
Gaoli Ruan
Junyuan Xie
Chongjun Wang
79
1
0
07 Nov 2024
Graph neural networks and non-commuting operators
Graph neural networks and non-commuting operators
Mauricio Velasco
Kaiying O'Hare
Bernardo Rychtenberg
Soledad Villar
GNN
421
2
0
06 Nov 2024
Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice
  Layer Thickness Prediction
Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
Zesheng Liu
Maryam Rahnemoonfar
AI4CE
67
2
0
06 Nov 2024
Efficient Message Passing Architecture for GCN Training on HBM-based
  FPGAs with Orthogonal Topology On-Chip Networks
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
Qizhe Wu
Letian Zhao
Yuchen Gui
Huawen Liang Xiaotian Wang
GNN
73
1
0
06 Nov 2024
Assessing and Enhancing Graph Neural Networks for Combinatorial
  Optimization: Novel Approaches and Application in Maximum Independent Set
  Problems
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems
Chenchuhui Hu
76
0
0
06 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient
  Risk Assessment Approach
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
106
1
0
06 Nov 2024
Enhancing the Expressivity of Temporal Graph Networks through
  Source-Target Identification
Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification
Benedict Aaron Tjandra
Federico Barbero
Michael M. Bronstein
96
2
0
06 Nov 2024
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
Laura Cabello
Carmen Martin-Turrero
Uchenna Akujuobi
Anders Søgaard
Carlos Bobed
AI4MH
348
1
0
06 Nov 2024
Reconsidering the Performance of GAE in Link Prediction
Reconsidering the Performance of GAE in Link Prediction
Weishuo Ma
Yanbo Wang
Xiang Wang
Muhan Zhang
97
1
0
06 Nov 2024
Two-Stage Pretraining for Molecular Property Prediction in the Wild
Two-Stage Pretraining for Molecular Property Prediction in the Wild
Kevin Tirta Wijaya
Minghao Guo
Michael Sun
Hans-Peter Seidel
Wojciech Matusik
Vahid Babaei
AI4CE
71
0
0
05 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Shan Zhao
Zhaiyu Chen
Zhitong Xiong
Yilei Shi
Sudipan Saha
Xiao Xiang Zhu
AI4CE
91
5
0
05 Nov 2024
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through
  Mixture of Experts
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts
Zelin Yao
Chuang Liu
Xianke Meng
Yibing Zhan
Hongzhi Zhang
Shirui Pan
Wenbin Hu
68
2
0
05 Nov 2024
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural
  Networks
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
Jinyin Chen
Haonan Ma
Haibin Zheng
DiffMAAML
71
0
0
05 Nov 2024
Winemaking: Extracting Essential Insights for Efficient Threat Detection
  in Audit Logs
Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs
Weiheng Wu
Wei Qiao
Wenhao Yan
Bo-Sian Jiang
Yuling Liu
Baoxu Liu
Zhigang Lu
JunRong Liu
75
0
0
05 Nov 2024
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis
  with Concurrency Hypothesis
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
Xiwen Chen
Sayed Pedram Haeri Boroujeni
Xin Shu
Huayu Li
Abolfazl Razi
GNN
95
1
0
04 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment
Federated GNNs for EEG-Based Stroke Assessment
Andrea Protani
Lorenzo Giusti
Albert Sund Aillet
Simona Sacco
Paolo Manganotti
...
Pierpaolo Brutti
Pietro Caliandro
Luigi Serio
Pietro Caliandro
Luigi Serio
FedML
63
0
0
04 Nov 2024
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with
  Graph Neural Networks
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural Networks
Christoforos Brozos
Jan G. Rittig
Elie Akanny
Sandip Bhattacharya
Christina Kohlmann
Alexander Mitsos
59
0
0
04 Nov 2024
Integrating Graph Neural Networks and Many-Body Expansion Theory for
  Potential Energy Surfaces
Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces
Siqi Chen
Zhiqiang Wang
Xianqi Deng
Yili Shen
C. Ju
...
Lin Xiong
Guo Ling
Dieaa Alhmoud
Hui Guan
Zhou Lin
83
0
0
03 Nov 2024
PageRank Bandits for Link Prediction
PageRank Bandits for Link Prediction
Yikun Ban
Jiaru Zou
Zihao Li
Yunzhe Qi
Dongqi Fu
Jian Kang
Hanghang Tong
Jingrui He
108
10
0
03 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
239
0
0
03 Nov 2024
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
Xiang Li
Changsheng Shui
Yanwei Yu
Chao Huang
Zhongying Zhao
128
0
0
02 Nov 2024
An unified approach to link prediction in collaboration networks
An unified approach to link prediction in collaboration networks
Juan Sosa
Diego Martínez
Nicolás Guerrero
56
0
0
01 Nov 2024
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled
  Representations
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations
Sadaf Khan
Zhengyuan Shi
Ziyang Zheng
Min Li
Qiang Xu
95
1
0
01 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review
Graph Neural Networks for Financial Fraud Detection: A Review
Dawei Cheng
Yao Zou
Sheng Xiang
Changjun Jiang
AI4TS
92
13
0
01 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models
  with augmented graph embeddings
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
Ashkan Golgoon
Ryan Franks
Khashayar Filom
Arjun Ravi Kannan
111
0
0
01 Nov 2024
Exploring Consistency in Graph Representations:from Graph Kernels to
  Graph Neural Networks
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
Xuyuan Liu
Yinghao Cai
Qihui Yang
Yujun Yan
92
1
0
31 Oct 2024
Towards Dynamic Message Passing on Graphs
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
95
1
0
31 Oct 2024
NASM: Neural Anisotropic Surface Meshing
NASM: Neural Anisotropic Surface Meshing
Hongbo Li
Haikuan Zhu
Sikai Zhong
Ningna Wang
Cheng Lin
X. Guo
Shiqing Xin
Wenping Wang
Jing Hua
Z. Zhong
60
0
0
30 Oct 2024
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
Sejin Lee
Dongha Kim
Min Song
128
0
0
30 Oct 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected
  Distributed Graphs
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs
Aishwarya Sarkar
Sayan Ghosh
Nathan Tallent
Ali Jannesari
GNN
83
2
0
30 Oct 2024
Vision Paper: Designing Graph Neural Networks in Compliance with the
  European Artificial Intelligence Act
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act
Barbara Hoffmann
Jana Vatter
R. Mayer
73
0
0
29 Oct 2024
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Bo Jiang
Hao Wu
Beibei Wang
Jin Tang
Bin Luo
75
0
0
29 Oct 2024
Faster Local Solvers for Graph Diffusion Equations
Faster Local Solvers for Graph Diffusion Equations
Jiahe Bai
Baojian Zhou
Deqing Yang
Yanghua Xiao
DiffM
102
1
0
29 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning
A Hierarchical Language Model For Interpretable Graph Reasoning
Sambhav Khurana
Xiner Li
Shurui Gui
Shuiwang Ji
LRM
130
0
0
29 Oct 2024
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning
Xudong Wang
Yuezun Li
Huiyu Zhou
Jiaran Zhou
Junyu Dong
120
1
0
29 Oct 2024
Disentangled and Self-Explainable Node Representation Learning
Disentangled and Self-Explainable Node Representation Learning
Simone Piaggesi
Andre' Panisson
Megha Khosla
70
0
0
28 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
214
4
0
28 Oct 2024
Detecting Malicious Accounts in Web3 through Transaction Graph
Detecting Malicious Accounts in Web3 through Transaction Graph
Wenkai Li
Zhijie Liu
Xiaoqi Li
Sen Nie
GNN
56
22
0
28 Oct 2024
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Mufei Li
Siqi Miao
Pan Li
RALM
230
17
0
28 Oct 2024
DHPrep: Deep Hawkes Process based Dynamic Network Representation
DHPrep: Deep Hawkes Process based Dynamic Network Representation
Ruixuan Han
Hongxiang Li
Bin Xie
46
0
0
27 Oct 2024
Graph Neural Networks on Discriminative Graphs of Words
Graph Neural Networks on Discriminative Graphs of Words
Yassine Abbahaddou
J. Lutzeyer
Michalis Vazirgiannis
113
0
0
27 Oct 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection:
  Limitations and a Simple Remedy
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
Sunwoo Kim
Soo Yong Lee
Fanchen Bu
Shinhwan Kang
Kyungho Kim
Jaemin Yoo
Kijung Shin
76
2
0
27 Oct 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and
  LightGCN for Link Prediction
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction
Haoxin Liu
29
0
0
26 Oct 2024
Convergence Guarantees for the DeepWalk Embedding on Block Models
Convergence Guarantees for the DeepWalk Embedding on Block Models
Christopher Harker
Aditya Bhaskara
63
0
0
26 Oct 2024
Understanding the Effect of GCN Convolutions in Regression Tasks
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
133
0
0
26 Oct 2024
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
Pavel Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
209
0
0
25 Oct 2024
Graph Linearization Methods for Reasoning on Graphs with Large Language Models
Graph Linearization Methods for Reasoning on Graphs with Large Language Models
Christos Xypolopoulos
Guokan Shang
Xiao Fei
Giannis Nikolentzos
Hadi Abdine
Iakovos Evdaimon
Michail Chatzianastasis
Giorgos Stamou
Michalis Vazirgiannis
119
1
0
25 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
168
5
0
25 Oct 2024
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