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Di Jin — most-cited papers & profile · Graph Learning
← authors
·
overview
Di Jin
22
papers ·
144
citations ·
34
h-index
Weifang People's Hospital
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Graph Neural Networks for Graphs with Heterophily: A Survey
2022 · 87 citations
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network
2022 · 8 citations
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
2021 · 5 citations
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
2022 · 4 citations
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
2022 · 3 citations
From Static to Dynamic Node Embeddings
2020 · 2 citations
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
2023 · 2 citations
Graph Neural Network for Large-Scale Network Localization
2020
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature
2022
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module
2023
Top co-authors
Dongxiao He
· 4
Lingfei Wu
· 2
Rui Wang
· 2
Shirui Pan
· 2
Wei Lin
· 2
Xiang Li
· 2
Carl Yang
· 1
Danai Koutra
· 1
Fei Jiang
· 1
Feng Yin
· 1
Heng Qi
· 1
Jia Wu
· 1
Topics
GNN Architectures
Theory & Expressivity
Self-Supervised & Contrastive
Recommendation Graphs
Temporal & Dynamic
Knowledge Graphs