Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.10538
Cited By
Subgraph Neural Networks
18 June 2020
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
GNN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Subgraph Neural Networks"
25 / 25 papers shown
Title
Soft causal learning for generalized molecule property prediction: An environment perspective
Limin Li
Kuo Yang
Wenjie Du
Pengkun Wang
Zhengyang Zhou
Yang Wang
OOD
AI4CE
56
0
0
07 May 2025
Deep Generative Models for Subgraph Prediction
Erfaneh Mahmoudzadeh
Parmis Naddaf
Kiarash Zahirnia
Oliver Schulte
BDL
GNN
33
0
0
07 Aug 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
Elika Bozorgi
Sakher Khalil Alqaiidi
Afsaneh Shams
H. Arabnia
Krzysztof Kochut
39
0
0
11 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
32
10
0
31 May 2024
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
Yunyong Ko
Hanghang Tong
Sang-Wook Kim
24
0
0
11 Sep 2023
Performance Embeddings: A Similarity-based Approach to Automatic Performance Optimization
Lukas Trumper
Tal Ben-Nun
Philipp Schaad
A. Calotoiu
Torsten Hoefler
40
0
0
14 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Jianguo Wang
Pan Li
66
8
0
06 Mar 2023
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
47
88
0
27 Dec 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Chang-Shu Liu
Yuwen Yang
Zhe Xie
Hongtao Lu
Yue Ding
36
4
0
01 Nov 2022
SHINE: SubHypergraph Inductive Neural nEtwork
Yuan Luo
32
13
0
13 Oct 2022
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
51
82
0
07 Sep 2022
Faithful Explanations for Deep Graph Models
Zifan Wang
Yuhang Yao
Chaoran Zhang
Han Zhang
Youjie Kang
Carlee Joe-Wong
Matt Fredrikson
Anupam Datta
FAtt
24
2
0
24 May 2022
Structure-Aware Transformer for Graph Representation Learning
Dexiong Chen
Leslie O’Bray
Karsten M. Borgwardt
33
237
0
07 Feb 2022
Improving Subgraph Recognition with Variational Graph Information Bottleneck
Junchi Yu
Jie Cao
Ran He
22
53
0
18 Dec 2021
Recent Advances in Automated Question Answering In Biomedical Domain
K. D. Baksi
25
0
0
10 Nov 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang
Abulikemu Abuduweili
Quanming Yao
Dejing Dou
42
68
0
16 Jul 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
43
538
0
14 Jun 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar
Fabrizio Frasca
Yu Guang Wang
N. Otter
Guido Montúfar
Pietro Lió
M. Bronstein
48
247
0
04 Mar 2021
Autobahn: Automorphism-based Graph Neural Nets
Erik H. Thiede
Wenda Zhou
Risi Kondor
GNN
AI4CE
26
48
0
02 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning
Chirag Agarwal
Himabindu Lakkaraju
Marinka Zitnik
27
156
0
25 Feb 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Qingyun Sun
Jianxin Li
Hao Peng
Jia Wu
Yuanxing Ning
Phillip S. Yu
Lifang He
24
162
0
20 Jan 2021
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
19
186
0
30 Oct 2020
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu
Tingyang Xu
Yu Rong
Yatao Bian
Junzhou Huang
Ran He
22
153
0
12 Oct 2020
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
39
161
0
14 Jun 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
270
1,944
0
09 Jun 2018
1