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Decoupling the Depth and Scope of Graph Neural Networks

Decoupling the Depth and Scope of Graph Neural Networks

19 January 2022
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
R. Kannan
Viktor Prasanna
Long Jin
Ren Chen
    GNN
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Papers citing "Decoupling the Depth and Scope of Graph Neural Networks"

50 / 85 papers shown
Title
Scaling Graph Neural Networks for Particle Track Reconstruction
Scaling Graph Neural Networks for Particle Track Reconstruction
Alok Tripathy
A. Lazar
X. Ju
P. Calafiura
Katherine Yelick
A. Buluç
33
0
0
07 Apr 2025
Accurate and Scalable Graph Neural Networks via Message Invariance
Accurate and Scalable Graph Neural Networks via Message Invariance
Zhihao Shi
Jie Wang
Zhiwei Zhuang
Xize Liang
Bin Li
Feng Wu
47
1
0
27 Feb 2025
Personalized Layer Selection for Graph Neural Networks
Kartik Sharma
Vineeth Rakesh Mohan
Yingtong Dou
Srijan Kumar
Mahashweta Das
37
0
0
28 Jan 2025
ContextGNN: Beyond Two-Tower Recommendation Systems
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan
Zecheng Zhang
Xinwei He
Akihiro Nitta
Weihua Hu
...
Blaž Stojanovič
Alan Krumholz
J. E. Lenssen
J. Leskovec
Matthias Fey
57
4
0
29 Nov 2024
Faster Local Solvers for Graph Diffusion Equations
Faster Local Solvers for Graph Diffusion Equations
Jiahe Bai
Baojian Zhou
Deqing Yang
Yanghua Xiao
DiffM
28
1
0
29 Oct 2024
Predicting building types and functions at transnational scale
Predicting building types and functions at transnational scale
Jonas Fill
Michael Eichelbeck
Michael Ebner
18
0
0
15 Sep 2024
Distributed Training of Large Graph Neural Networks with Variable
  Communication Rates
Distributed Training of Large Graph Neural Networks with Variable Communication Rates
J. Cerviño
Md Asadullah Turja
Hesham Mostafa
N. Himayat
Alejandro Ribeiro
GNN
AI4CE
44
0
0
25 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large
  graph and language models
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
Jiarui Feng
Hao Liu
Lecheng Kong
Yixin Chen
Muhan Zhang
32
2
0
20 Jun 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for
  Multivariate Time Series Forecasting
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
Yue Jiang
Xiucheng Li
Yile Chen
Shuai Liu
Weilong Kong
Antonis F. Lentzakis
Gao Cong
AI4TS
AI4CE
29
1
0
18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak
Zhigang Hua
Jin Fang
Yan Xie
Andrey Malevich
Bo Long
M. F. Balin
Ümit V. Çatalyürek
40
1
0
17 Jun 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN
  Training
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
Renjie Liu
Yichuan Wang
Xiao Yan
Zhenkun Cai
Minjie Wang
Haitian Jiang
Bo Tang
Jinyang Li
GNN
34
2
0
08 May 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Xunkai Li
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Bin Cui
GNN
34
3
0
07 May 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive
  Modeling on Relational DBs
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Minjie Wang
Quan Gan
David Wipf
Zhenkun Cai
Ning Li
...
Chuan Lei
Mu-Nan Zhang
Weinan Zhang
Christos Faloutsos
Zheng-Wei Zhang
33
3
0
28 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With
  Subgraph Sketching
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
27
0
0
19 Apr 2024
How Does Message Passing Improve Collaborative Filtering?
How Does Message Passing Improve Collaborative Filtering?
Mingxuan Ju
William Shiao
Zhichun Guo
Yanfang Ye
Yozen Liu
Neil Shah
Tong Zhao
24
4
0
27 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and
  Efficient Modeling
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling
Hussein Abdallah
Waleed Afandi
Panos Kalnis
Essam Mansour
20
2
0
09 Mar 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning
Rethinking Node-wise Propagation for Large-scale Graph Learning
Xunkai Li
Jingyuan Ma
Zhengyu Wu
Daohan Su
Wentao Zhang
Ronghua Li
Guoren Wang
AI4CE
25
11
0
09 Feb 2024
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on
  Multi-Core Processor
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor
Yi-Chien Lin
Yuyang Chen
Sameh Gobriel
Nilesh Jain
Gopi Krishna Jha
Viktor Prasanna
GNN
22
3
0
06 Feb 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening,
  and Condensation
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
Mohammad Hashemi
Shengbo Gong
Juntong Ni
Wenqi Fan
B. A. Prakash
Wei-dong Jin
DD
59
39
0
29 Jan 2024
Multi-relational Graph Diffusion Neural Network with Parallel Retention
  for Stock Trends Classification
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
Zinuo You
Pengju Zhang
Jin Zheng
John Cartlidge
AIFin
DiffM
13
5
0
05 Jan 2024
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement
  Prediction
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
Zinuo You
Zijian Shi
Hongbo Bo
John Cartlidge
Li Zhang
Yan Ge
AIFin
DiffM
11
2
0
03 Jan 2024
StructComp: Substituting Propagation with Structural Compression in
  Training Graph Contrastive Learning
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
Shengzhong Zhang
Wenjie Yang
Xinyuan Cao
Hongwei Zhang
Zengfeng Huang
21
2
0
08 Dec 2023
Mixture of Weak & Strong Experts on Graphs
Mixture of Weak & Strong Experts on Graphs
Hanqing Zeng
Hanjia Lyu
Diyi Hu
Yinglong Xia
Jiebo Luo
23
3
0
09 Nov 2023
Cooperative Minibatching in Graph Neural Networks
Cooperative Minibatching in Graph Neural Networks
M. F. Balin
Dominique LaSalle
Ümit V. Çatalyürek
GNN
20
1
0
19 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
Haitian Jiang
Renjie Liu
Xiao Yan
Zhenkun Cai
Minjie Wang
David Wipf
Minjie Wang
David Wipf
GNN
AI4CE
21
3
0
19 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive
  Propagation
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
Xin Gao
Wentao Zhang
Junliang Yu
Yingxiao Shao
Quoc Viet Hung Nguyen
Bin Cui
Hongzhi Yin
AI4CE
GNN
22
9
0
17 Oct 2023
A Local Graph Limits Perspective on Sampling-Based GNNs
A Local Graph Limits Perspective on Sampling-Based GNNs
Yeganeh Alimohammadi
Luana Ruiz
Amin Saberi
27
2
0
17 Oct 2023
GraphText: Graph Reasoning in Text Space
GraphText: Graph Reasoning in Text Space
Jianan Zhao
Le Zhuo
Yikang Shen
Meng Qu
Kai Liu
Michael M. Bronstein
Zhaocheng Zhu
Jian Tang
107
71
0
02 Oct 2023
ProvG-Searcher: A Graph Representation Learning Approach for Efficient
  Provenance Graph Search
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search
Enes Altinisik
Fatih Deniz
H. Sencar
25
15
0
07 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via
  Monte-Carlo Tree Search
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Yuya Sasaki
25
0
0
30 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
Jingji Chen
Zhuoming Chen
Xuehai Qian
GNN
AI4CE
27
3
0
19 Aug 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and
  Customized Hardware
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Shichang Zhang
Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
Yizhou Sun
GNN
AI4CE
29
22
0
24 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
Soo Yong Lee
Fanchen Bu
Jaemin Yoo
Kijung Shin
GNN
11
30
0
04 Jun 2023
Simplifying Distributed Neural Network Training on Massive Graphs:
  Randomized Partitions Improve Model Aggregation
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Jiong Zhu
Aishwarya N. Reganti
E-Wen Huang
Charles Dickens
Nikhil S. Rao
Karthik Subbian
Danai Koutra
GNN
FedML
27
3
0
17 May 2023
Towards Understanding the Generalization of Graph Neural Networks
Towards Understanding the Generalization of Graph Neural Networks
Huayi Tang
Y. Liu
GNN
AI4CE
32
29
0
14 May 2023
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification
Shweta Ann Jacob
Paul Louis
Amirali Salehi-Abari
GNN
11
4
0
17 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Zhenyu Hou
Yufei He
Yukuo Cen
Xiao Liu
Yuxiao Dong
Evgeny Kharlamov
Jie Tang
SSL
16
102
0
10 Apr 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training
Provably Convergent Subgraph-wise Sampling for Fast GNN Training
Jie Wang
Zhihao Shi
Xize Liang
Shuiwang Ji
Bin Li
Feng Wu
20
0
0
17 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph
  Representation Learning
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Jianguo Wang
Pan Li
61
8
0
06 Mar 2023
Towards a GML-Enabled Knowledge Graph Platform
Towards a GML-Enabled Knowledge Graph Platform
Hussein Abdallah
Essam Mansour
16
2
0
03 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in
  Graph Neural Networks
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
See Hian Lee
Feng Ji
Wee Peng Tay
19
1
0
03 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA
  Heterogeneous Platform
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform
Yi-Chien Lin
Bingyi Zhang
Viktor Prasanna
GNN
19
5
0
02 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction
Asymmetric Learning for Graph Neural Network based Link Prediction
Kai-Lang Yao
Wusuo Li
16
1
0
01 Mar 2023
Efficiently Forgetting What You Have Learned in Graph Representation
  Learning via Projection
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection
Weilin Cong
Mehrdad Mahdavi
MU
16
17
0
17 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and
  Over-smoothing
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
16
61
0
03 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link
  Prediction
Simplifying Subgraph Representation Learning for Scalable Link Prediction
Paul Louis
Shweta Ann Jacob
Amirali Salehi-Abari
18
8
0
29 Jan 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for
  Graph Neural Network Training
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
Kezhao Huang
Haitian Jiang
Minjie Wang
Guangxuan Xiao
David Wipf
Xiang Song
Quan Gan
Zengfeng Huang
Jidong Zhai
Zheng-Wei Zhang
GNN
23
2
0
18 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey
A Network Science perspective of Graph Convolutional Networks: A survey
Mingshan Jia
Bogdan Gabrys
Katarzyna Musial
GNN
27
7
0
12 Jan 2023
Influence-Based Mini-Batching for Graph Neural Networks
Influence-Based Mini-Batching for Graph Neural Networks
Johannes Gasteiger
Chao Qian
Stephan Günnemann
GNN
16
12
0
18 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic
  Survey
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
Shaopeng Wei
Yu Zhao
Xingyan Chen
Qing Li
Fuzhen Zhuang
Ji Liu
Fuji Ren
Gang Kou
AI4CE
19
5
0
17 Dec 2022
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