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RC2022
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Graph Representation Learning
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Graphs
• 17 methods
Methods
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Method
Year
Papers
Contrastive Learning
2000
4246
Graph Neural Network
Graph Neural Networks: A Review of Methods and Applications
2018
2353
AWARE
2000
1568
SPIN
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
2022
146
GCA
Graph Contrastive Learning with Adaptive Augmentation
2020
15
MEI
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
2020
12
APPNP
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
2018
9
GraphSAINT
GraphSAINT: Graph Sampling Based Inductive Learning Method
2019
7
GraphCL
Graph Contrastive Learning with Augmentations
2020
6
GMI
Graph Representation Learning via Graphical Mutual Information Maximization
2020
5
iGCL
Graph Contrastive Learning with Implicit Augmentations
2022
4
L-GCN
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks
2021
3
InfoGraph
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
2019
3
GFSA
Learning Graph Structure With A Finite-State Automaton Layer
2020
2
AD-GCL
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
2021
2
DyGED
Event Detection on Dynamic Graphs
2021
1
DeepDrug
DeepDrug: A General Graph-Based Deep Learning Framework for Drug Relation Prediction
2022
1