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1908.01000
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InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
31 July 2019
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
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Papers citing
"InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"
50 / 157 papers shown
Title
Multi-Modal Molecular Representation Learning via Structure Awareness
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Edge Prompt Tuning for Graph Neural Networks
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A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
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Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
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Atefeh Sohrabizadeh
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ID-MixGCL: Identity Mixup for Graph Contrastive Learning
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Hybrid Augmented Automated Graph Contrastive Learning
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Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
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SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
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Jianhao Guo
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Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
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Deep Orthogonal Hypersphere Compression for Anomaly Detection
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Curriculum Graph Machine Learning: A Survey
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Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
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SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
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Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
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Signed Directed Graph Contrastive Learning with Laplacian Augmentation
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Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
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Data Augmentation on Graphs: A Technical Survey
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Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
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