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Search results for graph contrastive learning
contrastive-learning
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7 search results found
Awesome Self Supervised Learning For Graphs
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300
A curated list for awesome self-supervised learning for graphs.
Gcc
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288
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
Contrastive_learning_papers
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189
A list of contrastive Learning papers
Costa
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34
Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Grace
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28
PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
Gcl
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23
List of Publications in Graph Contrastive Learning
Cldr_clner_models
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23
Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure. Given a sentence (unstructured text) and its graph, we use contrastive learning to impose relation-related structure on the token level representations of the sentence obt
Digcl
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14
The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
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