bingxin niu
8 papers · 2021–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Architectures
(6)
Core Methods
(6)
Learning Types · Deep Learning
(5)
Learning Types · Machine Learning
(5)
Mathematics & Optimization
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Learning Paradigms
(1)
Mathematics
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
graph neural network
(6)
self-supervised learning
(3)
graph representation learning
(3)
message passing
(3)
unsupervised learning
(2)
graph contrastive learning
(2)
node classification
(2)
representation learning
(2)
network analysis
(1)
mutual information
(1)
spectral analysis
(1)
conjugate gradient
(1)
unsupervised representation learning
(1)
heterogeneous graph
(1)
node representation
(1)
graph augmentation
(1)
graph convolutional network
(1)
principal component
(1)
affinity matrix
(1)
heterophilic graph
(1)
Papers
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
NeurIPS 2024
Self-supervised Graph Neural Networks via Low-Rank Decomposition
NeurIPS 2023
OPEN: Orthogonal Propagation with Ego-Network Modeling
NeurIPS 2022
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing
AAAI 2022
Diverse Message Passing for Attribute with Heterophily
NeurIPS 2021
Heterogeneous Graph Information Bottleneck
IJCAI 2021
Why Do Attributes Propagate in Graph Convolutional Neural Networks?
AAAI 2021