YIZHEN ZHENG
7 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
graph neural network
(6)
contrastive learning
(4)
graph representation learning
(3)
self-supervised learning
(3)
node classification
(2)
unsupervised learning
(2)
molecular representation
(1)
molecular property prediction
(1)
node representation
(1)
graph contrastive learning
(1)
graph similarity learning
(1)
graph matching network
(1)
heterophilic graph
(1)
homophily assumption
(1)
siamese network
(1)
group discrimination
(1)
large language model
(1)
unsupervised graph representation learning
(1)
graph heterophily
(1)
edge discriminator
(1)
Papers
A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection
AAAI 2025
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models
IJCAI 2025
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
AAAI 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
ICML 2023
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
IJCAI 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
NeurIPS 2022
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
IJCAI 2021