ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.18273
  4. Cited By
Efficient Learning on Large Graphs using a Densifying Regularity Lemma

Efficient Learning on Large Graphs using a Densifying Regularity Lemma

25 April 2025
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
ArXiv (abs)PDFHTML

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?
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
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
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
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
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
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNNAI4TS
86
1,188
0
06 Jul 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
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
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
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
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
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
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNNAI4TS
87
2,169
0
31 May 2019
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
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
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
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN3DV
189
2,619
0
05 Jul 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,300
0
07 Jun 2017
Deep Sets
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
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