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Zhizhi Yu
15 papers at tracked venues · 8 at CORE A* · active 2024–2026
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Venues
AAAI
×6
IJCAI
×5
CIKM
×1
EMNLP
×1
NeurIPS
×1
WWW
×1
Frequent coauthors
Di Jin
×10
Dongxiao He
×10
Zhiyong Feng
×5
Jianguo Wei
×4
Ling Ding
×2
Lei Huang
×2
Xinglong Chang
×2
Weixiong Zhang
×2
Ronghui Guo
×2
Xiaowang Zhang
×2
Minghui Zou
×2
Sai Zhang
×2
Papers
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
BibTeX ⧉
AAAI 2026
·
Ling Ding
,
Zhizhi Yu
,
Di Jin
,
Lei Huang
Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection
BibTeX ⧉
WWW 2026
·
Zhizhi Yu
,
Di Jin
,
Dongxiao He
,
Wenhuan Lu
,
Jianguo Wei
Attribute Association Driven Multi-Task Learning for Session-based Recommendation
BibTeX ⧉
IJCAI 2025
·
Xinyao Wang
,
Zhizhi Yu
,
Dongxiao He
,
Liang Yang
,
Jianguo Wei
,
Di Jin
CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems
BibTeX ⧉
EMNLP 2025
·
Di Wu Hebeu
,
Zhizhi Yu
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
BibTeX ⧉
AAAI 2025
·
Zhizhi Yu
,
Chundong Liang
,
Xinglong Chang
,
Dongxiao He
,
Di Jin
,
Jianguo Wei
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
BibTeX ⧉
AAAI 2025
·
Songyuan Lei
,
Xinglong Chang
,
Zhizhi Yu
,
Dongxiao He
,
Cuiying Huo
,
Jianrong Wang
,
Di Jin
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
BibTeX ⧉
AAAI 2025
·
Siqi Liu
,
Dongxiao He
,
Zhizhi Yu
,
Di Jin
,
Zhiyong Feng
,
Weixiong Zhang
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection
BibTeX ⧉
IJCAI 2025
·
Ronghui Guo
,
Xiaowang Zhang
,
Zhizhi Yu
,
Minghui Zou
,
Sai Zhang
,
Zhiyong Feng
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
BibTeX ⧉
AAAI 2025
·
Ling Ding
,
Lei Huang
,
Zhizhi Yu
,
Di Jin
,
Dongxiao He
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
BibTeX ⧉
NeurIPS 2024
·
Jingbo Zhou
,
Yixuan Du
,
Ruqiong Zhang
,
Jun Xia
,
Zhizhi Yu
,
Zelin Zang
,
Di Jin
,
Carl Yang
,
Rui Zhang
,
Stan Z. Li
Generalized Taxonomy-Guided Graph Neural Networks
BibTeX ⧉
IJCAI 2024
·
Yu Zhou
,
Di Jin
,
Jianguo Wei
,
Dongxiao He
,
Zhizhi Yu
,
Weixiong Zhang
Graph Local Homophily Network for Anomaly Detection
BibTeX ⧉
CIKM 2024
·
Ronghui Guo
,
Minghui Zou
,
Sai Zhang
,
Xiaowang Zhang
,
Zhizhi Yu
,
Zhiyong Feng
Improving Distinguishability of Class for Graph Neural Networks
BibTeX ⧉
AAAI 2024
·
Dongxiao He
,
Shuwei Liu
,
Meng Ge
,
Zhizhi Yu
,
Guangquan Xu
,
Zhiyong Feng
Joint Domain Adaptive Graph Convolutional Network
BibTeX ⧉
IJCAI 2024
·
Niya Yang
,
Ye Wang
,
Zhizhi Yu
,
Dongxiao He
,
Xin Huang
,
Di Jin
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
BibTeX ⧉
IJCAI 2024
·
Zhizhi Yu
,
Bin Feng
,
Dongxiao He
,
Zizhen Wang
,
Yuxiao Huang
,
Zhiyong Feng