Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2504.18273
Cited By
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
25 April 2025
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Efficient Learning on Large Graphs using a Densifying Regularity Lemma"
18 / 18 papers shown
Title
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov
Denis Kuznedelev
Michael Diskin
Artem Babenko
Liudmila Prokhorenkova
77
219
0
22 Feb 2023
Gradient Gating for Deep Multi-Rate Learning on Graphs
T. Konstantin Rusch
B. Chamberlain
Michael W. Mahoney
Michael M. Bronstein
Siddhartha Mishra
105
59
0
02 Oct 2022
Condensing Graphs via One-Step Gradient Matching
Wei Jin
Xianfeng Tang
Haoming Jiang
Zheng Li
Danqing Zhang
Jiliang Tang
Bin Ying
DD
91
110
0
15 Jun 2022
HousE: Knowledge Graph Embedding with Householder Parameterization
Rui Li
Jianan Zhao
Chaozhuo Li
Di He
Yiqi Wang
...
Senzhang Wang
Weiwei Deng
Yanming Shen
Xing Xie
Qi Zhang
61
46
0
16 Feb 2022
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
GNN
95
317
0
13 Jun 2021
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNN
AI4TS
86
1,188
0
06 Jul 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Matthias Fey
Jan-Gin Yuen
F. Weichert
GNN
83
86
0
22 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
269
738
0
14 Jun 2020
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
129
397
0
23 Apr 2020
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
110
1,339
0
25 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
968
0
10 Jul 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
AI4TS
87
2,169
0
31 May 2019
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
144
1,513
0
30 Jan 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,164
0
30 Oct 2017
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
189
2,619
0
05 Jul 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,300
0
07 Jun 2017
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
415
2,473
0
10 Mar 2017
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
95
3,202
0
20 Dec 2014
1