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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 / 5,528 papers shown
Title
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
Yongqi Huang
Jitao Zhao
Dongxiao He
Di Jin
Yuxiao Huang
Zhen Wang
50
0
0
23 Mar 2025
NdLinear: Don't Flatten! Building Superior Neural Architectures by Preserving N-D Structure
NdLinear: Don't Flatten! Building Superior Neural Architectures by Preserving N-D Structure
Alex Reneau
Jerry Yao-Chieh Hu
Zhongfang Zhuang
Ting-Chun Liu
Xiang He
Judah Goldfeder
Nadav Timor
Allen Roush
Ravid Shwartz-Ziv
HAI
108
0
0
21 Mar 2025
TeMP-TraG: Edge-based Temporal Message Passing in Transaction Graphs
TeMP-TraG: Edge-based Temporal Message Passing in Transaction Graphs
Steve Gounoue
Ashutosh Sao
Simon Gottschalk
90
0
0
21 Mar 2025
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Sanjif Shanmugavelu
Mathieu Taillefumier
Christopher Culver
Vijay Ganesh
Oscar Hernandez
Ada Sedova
AAML
59
1
0
21 Mar 2025
Ordered Topological Deep Learning: a Network Modeling Case Study
Ordered Topological Deep Learning: a Network Modeling Case Study
Guillermo Bernardez
Miquel Ferriol Galmés
Carlos Güemes-Palau
Mathilde Papillon
Pere Barlet-Ros
A. Cabellos-Aparicio
Nina Miolane
119
4
0
20 Mar 2025
ACE: A Cardinality Estimator for Set-Valued Queries
ACE: A Cardinality Estimator for Set-Valued Queries
Yufan Sheng
Xin Cao
Kaiqi Zhao
Yixiang Fang
Jianzhong Qi
Wenjie Zhang
Christian S. Jensen
92
0
0
19 Mar 2025
DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition
DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition
Caoshuo Li
Tanzhe Li
Xiaobin Hu
Donghao Luo
Taisong Jin
95
1
0
19 Mar 2025
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks
Jiazhu Dai
Haoyu Sun
AAML
101
0
0
19 Mar 2025
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Ruobing Jiang
Yacong Li
Haobing Liu
Yanwei Yu
142
0
0
18 Mar 2025
PASTA: Part-Aware Sketch-to-3D Shape Generation with Text-Aligned Prior
PASTA: Part-Aware Sketch-to-3D Shape Generation with Text-Aligned Prior
Seanie Lee
Hwanhee Jung
Byoungsoo Koh
Qixing Huang
Sangho Yoon
Sangpil Kim
75
0
0
17 Mar 2025
Continuous Simplicial Neural Networks
Continuous Simplicial Neural Networks
Aref Einizade
Dorina Thanou
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4CE
117
1
0
17 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffMGNN
252
0
0
16 Mar 2025
Efficient and Privacy-Preserved Link Prediction via Condensed Graphs
Efficient and Privacy-Preserved Link Prediction via Condensed Graphs
Yunbo Long
Liming Xu
Alexandra Brintrup
176
0
0
15 Mar 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Hang Ni
Jindong Han
Nengjun Zhu
Hao Liu
82
0
0
15 Mar 2025
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Tingting Wang
Jiaxin Su
Haobing Liu
Ruobing Jiang
229
0
0
15 Mar 2025
GNNs as Predictors of Agentic Workflow Performances
Yanzhe Zhang
Yuchen Hou
Bohan Tang
Shuo Chen
Muhan Zhang
Xiaowen Dong
Tian Jin
LLMAGAI4CE
120
2
0
14 Mar 2025
Multi-View Node Pruning for Accurate Graph Representation
Multi-View Node Pruning for Accurate Graph Representation
Jiseong Park
Hanjin Kim
Seojin Kim
Jueun Choi
146
0
0
14 Mar 2025
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
Eduard Tulchinskii
Daria Voronkova
I. Trofimov
Evgeny Burnaev
Serguei Barannikov
422
0
0
14 Mar 2025
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors
Jun-Gi Jang
Jingrui He
A. Margenot
Hanghang Tong
62
0
0
14 Mar 2025
Enhanced Soups for Graph Neural Networks
Joseph Zuber
Aishwarya Sarkar
Joseph Jennings
Ali Jannesari
120
1
0
14 Mar 2025
Towards Constraint-Based Adaptive Hypergraph Learning for Solving Vehicle Routing: An End-to-End Solution
Zhenwei Wang
Ruibin Bai
Tiehua Zhang
127
0
0
13 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective
Yansen Wang
Wenqi Fan
Suhang Wang
Yao Ma
88
1
0
13 Mar 2025
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
Andreas Peintner
Marta Moscati
Emilia Parada-Cabaleiro
Markus Schedl
Eva Zangerle
GNN
155
3
0
13 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
Max Klabunde
Tassilo Wald
Tobias Schumacher
Klaus H. Maier-Hein
Markus Strohmaier
Adriana Iamnitchi
AI4TSVLM
236
6
0
13 Mar 2025
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis
Chenjun Li
Laurin Lux
Alexander H. Berger
Fernando Navarro
Mert R. Sabuncu
Johannes C. Paetzold
94
0
0
12 Mar 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
Xuewen Dong
Jiachen Li
Shujun Li
Zhichao You
Qiang Qu
Yaroslav Kholodov
Yulong Shen
AAML
141
1
0
12 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
Huidong Liang
Haitz Sáez de Ocáriz Borde
Baskaran Sripathmanathan
Michael M. Bronstein
Xiaowen Dong
GNN
133
1
0
12 Mar 2025
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?
Mir Imtiaz Mostafiz
Imtiaz Karim
Elisa Bertino
AAML
96
0
0
12 Mar 2025
TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction
Shengyao Lu
Jiuding Yang
Baochun Li
Di Niu
96
0
0
12 Mar 2025
Efficient Neural Clause-Selection Reinforcement
Efficient Neural Clause-Selection Reinforcement
Martin Suda
97
0
0
10 Mar 2025
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach
Qian Zeng
Xin Lin
Jingyi Gao
Yang Yu
137
0
0
09 Mar 2025
HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning
Lavanya Ratnabala
Robinroy Peter
A. Fedoseev
Dzmitry Tsetserukou
104
1
0
08 Mar 2025
Subgraph Federated Learning for Local Generalization
Sungwon Kim
Yoonho Lee
Yunhak Oh
Namkyeong Lee
Sukwon Yun
Junseok Lee
Sein Kim
Carl Yang
Chanyoung Park
FedMLOOD
155
3
0
06 Mar 2025
ConstellationNet: Reinventing Spatial Clustering through GNNs
Aidan Gao
Junhong Lin
GNN
68
0
0
06 Mar 2025
Leap: Inductive Link Prediction via Learnable TopologyAugmentation
Ahmed E. Samy
Zekarias T. Kefato
Sarunas Girdzijauskas
87
0
0
05 Mar 2025
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
Xi Zhu
Haochen Xue
Ziwei Zhao
Wujiang Xu
Jingyuan Huang
Minghao Guo
Qifan Wang
Kaixiong Zhou
Yongfeng Zhang
120
5
0
05 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data
GNNMerge: Merging of GNN Models Without Accessing Training Data
Vipul Garg
Ishita Thakre
Sayan Ranu
MoMe
198
0
0
05 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
Shujie Li
Yuxia Wu
Chuan Shi
Yuan Fang
88
0
0
05 Mar 2025
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
Qiyi Wang
Yinning Shao
Yunlong Ma
Min Liu
OOD
111
1
0
04 Mar 2025
Deal: Distributed End-to-End GNN Inference for All Nodes
Shiyang Chen
Xiang Song
Vasiloudis Theodore
Hang Liu
GNN
89
0
0
04 Mar 2025
CGMatch: A Different Perspective of Semi-supervised Learning
Bo Cheng
Jueqing Lu
Yuan Tian
Haifeng Zhao
Yi-Ju Chang
Lan Du
79
0
0
04 Mar 2025
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Emma Ceccherini
Ian Gallagher
Andrew Jones
Daniel J. Lawson
97
0
0
04 Mar 2025
Hypergraph Foundation Model
Yifan Feng
Shiquan Liu
Xiangmin Han
Shaoyi Du
Zongze Wu
Han Hu
Yue Gao
AI4CE
77
2
0
03 Mar 2025
Fairness and/or Privacy on Social Graphs
Bartlomiej Surma
Michael Backes
Yang Zhang
123
0
0
03 Mar 2025
STGAN: Spatial-temporal Graph Autoregression Network for Pavement Distress Deterioration Prediction
Shilin Tong
Difei Wu
Xiaona Liu
Le Zheng
Yuchuan Du
Difan Zou
GNN
46
0
0
03 Mar 2025
\textsc{Perseus}: Tracing the Masterminds Behind Cryptocurrency Pump-and-Dump Schemes
Honglin Fu
Yebo Feng
Yanwei Yue
Jiahua Xu
AIFin
73
0
0
03 Mar 2025
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu
Shimin Di
Haoyang Li
Xun Jian
Yijiao Wang
Lei Chen
CLL
101
0
0
03 Mar 2025
m4: A Learned Flow-level Network Simulator
Chenning Li
Anton A. Zabreyko
Arash Nasr-Esfahany
Kevin Zhao
Prateesh Goyal
Mohammad Alizadeh
Thomas Anderson
79
0
0
03 Mar 2025
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
Nikolaos Nakis
Niels Raunkjær Holm
Andreas Lyhne Fiehn
Morten Mørup
113
0
0
03 Mar 2025
Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery Curvature
Asela Hevapathige
Ahad N. Zehmakan
Qing Wang
101
0
0
03 Mar 2025
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