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Shuiwang Ji — most-cited papers & profile · Graph Learning
← authors
·
overview
Shuiwang Ji
31
papers ·
806
citations ·
57
h-index
Mitchell Institute · Walker (United States) · Texas A&M University
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Semantic Scholar ↗
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Most-cited papers
Towards Deeper Graph Neural Networks
2020 · 501 citations
On Explainability of Graph Neural Networks via Subgraph Explorations
2021 · 90 citations
Self-Supervised Representation Learning via Latent Graph Prediction
2022 · 8 citations
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
2021 · 5 citations
Task-Agnostic Graph Explanations
2022 · 4 citations
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
2022 · 2 citations
FlowX: Towards Explainable Graph Neural Networks via Message Flows
2022 · 2 citations
Non-Local Graph Neural Networks
2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
2020
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences
2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm
2022
Top co-authors
Meng Liu
· 5
Hao Yuan
· 4
Haiyang Yu
· 3
Jie Wang
· 2
Kang Li
· 2
Yaochen Xie
· 2
Hongyang Gao
· 1
Jiliang Tang
· 1
Karthik Subbian
· 1
Limei Wang
· 1
Qicheng Lao
· 1
Tianbao Yang
· 1
Topics
GNN Architectures
Theory & Expressivity
Self-Supervised & Contrastive