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Subgraph Neural Networks

Subgraph Neural Networks

18 June 2020
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
    GNN
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Papers citing "Subgraph Neural Networks"

25 / 25 papers shown
Title
Soft causal learning for generalized molecule property prediction: An environment perspective
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
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
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
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
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
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
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
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
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
SHINE: SubHypergraph Inductive Neural nEtwork
Yuan Luo
32
13
0
13 Oct 2022
Multimodal learning with graphs
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
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
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
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
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
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
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
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
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
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
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
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
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
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
39
161
0
14 Jun 2020
Representation Learning on Graphs with Jumping Knowledge Networks
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
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