Zhizhi Yu
15 papers · 2020–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(4)
🤝
Dynamic Duo
(11)
🏆
Keyword Champion
(2)
🔬
Deep Specialist
(11)
🗃️
Keyword Collector
(70)
⚡
Prolific Year
(7)
💎
Century Club
(14)
Conferences
AAAI (6)
IJCAI (6)
NIPS (2)
EMNLP (1)
Top co-authors
Keywords
graph neural network
(11)
node classification
(3)
neighborhood aggregation
(3)
anomaly detection
(2)
contrastive learning
(2)
knowledge graph completion
(2)
neighbor aggregation
(2)
message passing
(2)
graph convolutional network
(2)
inductive learning
(2)
representation learning
(2)
node representation
(2)
task-oriented dialogue
(1)
graph representation learning
(1)
transfer learning
(1)
collaborative filtering
(1)
graph anomaly detection
(1)
multi-task learning
(1)
embedding learning
(1)
knowledge base
(1)
Papers
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
AAAI 2026
CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems
EMNLP 2025
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
AAAI 2025
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
AAAI 2025
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
AAAI 2025
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
AAAI 2025
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection
IJCAI 2025
Attribute Association Driven Multi-Task Learning for Session-based Recommendation
IJCAI 2025
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
IJCAI 2024
Improving Distinguishability of Class for Graph Neural Networks
AAAI 2024
Joint Domain Adaptive Graph Convolutional Network
IJCAI 2024
Generalized Taxonomy-Guided Graph Neural Networks
IJCAI 2024
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
NIPS 2024
Universal Graph Convolutional Networks
NIPS 2021
Community-Centric Graph Convolutional Network for Unsupervised Community Detection
IJCAI 2020