Muhan Zhang

发表

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Haoteng Yin, Hongya Wang, Muhan Zhang, 2022, ArXiv.

Deep Graph Neural Networks with Shallow Subgraph Samplers pdf

Yinglong Xia, Ajitesh Srivastava, Ren Chen, 2020, ArXiv.

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

Yinglong Xia, Pan Li, Muhan Zhang, 2020, NeurIPS.

How Powerful are K-hop Message Passing Graph Neural Networks

Fuhai Li, Yixin Chen, Muhan Zhang, 2022, NeurIPS.

How Powerful are Spectral Graph Neural Networks

Muhan Zhang, Xiyuan Wang, 2022, International Conference on Machine Learning.

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction

Zhouchen Lin, Pan Li, Muhan Zhang, 2022, ArXiv.

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

Haoteng Yin, Muhan Zhang, Pan Li, 2022, ArXiv.

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

Haoteng Yin, Pan Li, Muhan Zhang, 2022, Proc. VLDB Endow..

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Haoteng Yin, Pan Li, Hongya Wang, 2022, ICLR.

E QUIVARIANT AND S TABLE P OSITIONAL E NCODING FOR M ORE P OWERFUL G RAPH N EURAL N ETWORKS

Haoteng Yin, Pan Li, Hongya Wang, 2022 .

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction

Zhouchen Lin, Pan Li, Muhan Zhang, 2022, ArXiv.

PA-GNN: Parameter-Adaptive Graph Neural Networks

Muhan Zhang, Yitao Liang, Yuxin Yang, 2022 .

Geodesic Graph Neural Network for Efficient Graph Representation Learning

Yixin Chen, Muhan Zhang, Lecheng Kong, 2022, NeurIPS.

How Powerful are K-hop Message Passing Graph Neural Networks

Fuhai Li, Yixin Chen, Muhan Zhang, 2022, ArXiv.

N EURAL N ETWORKS WITH I 2 -GNN S

Jianzhu Ma, Muhan Zhang, Xingang Peng, 2022 .

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding

Song-Chun Zhu, Muhan Zhang, Yitao Liang, 2022, ArXiv.

Decoupling the Depth and Scope of Graph Neural Networks

Rajgopal Kannan, Yinglong Xia, Andrey Malevich, 2022, NeurIPS.

Deep Graph Neural Networks with Shallow Subgraph Samplers

V. Prasanna, Yinglong Xia, R. Kannan, 2020, ArXiv.

Hierarchical Attention Propagation for Healthcare Representation Learning

Yixin Chen, Muhan Zhang, Christopher R. King, 2020, KDD.

Graph Deep Learning: Methods and Applications

Muhan Zhang, Muhan Zhang, 2019 .

Deep-learning model for predicting 30-day postoperative mortality.

Bradley A. Fritz, M. Avidan, Muhan Zhang, 2019, British journal of anaesthesia.

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Juntang Zhuang, Pamela Ventola, Dustin Scheinost, 2020, bioRxiv.

Is Distance Matrix Enough for Geometric Deep Learning?

Muhan Zhang, Xiyuan Wang, Yinan Huang, 2023, ArXiv.

Revisiting Graph Neural Networks for Link Prediction pdf

Yinglong Xia, Kai Wang, Pan Li, 2020, ArXiv.

GLASS: GNN with Labeling Tricks for Subgraph Representation Learning

Muhan Zhang, Xiyuan Wang, 2022, International Conference on Learning Representations.

Neural Common Neighbor with Completion for Link Prediction

Muhan Zhang, Xiyuan Wang, Hao-Ting Yang, 2023, ArXiv.

N ETWORKS WITH I 2-GNN S

Jianzhu Ma, Muhan Zhang, Xingang Peng, 2023 .

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman

Huawei Shen, Muhan Zhang, Xueqi Cheng, 2022, LoG.

Network In Graph Neural Network pdf

Muhan Zhang, Xiang Song, Runjie Ma, 2021, ArXiv.

Nested Graph Neural Networks pdf

Muhan Zhang, Pan Li, Pan Li, 2021, NeurIPS.

Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks

Pan Li, Muhan Zhang, Xiyuan Wang, 2023, ArXiv.

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning

Haoteng Yin, Pan Li, Muhan Zhang, 2023, Proc. VLDB Endow..

Inductive Matrix Completion Based on Graph Neural Networks

Yixin Chen, Muhan Zhang, 2019, ICLR.

Graph Neural Network with Local Frame for Molecular Potential Energy Surface

Muhan Zhang, Xiyuan Wang, 2022, LoG.

Boosting the Cycle Counting Power of Graph Neural Networks with I2-GNNs

Jianzhu Ma, Muhan Zhang, Xingang Peng, 2022, ArXiv.

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2020, MICCAI.

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption

Zhouchen Lin, Muhan Zhang, Haotong Yang, 2022, NeurIPS.

Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs

Muhan Zhang, Junru Zhou, Zhi Tang, 2023, ArXiv.

From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks

Muhan Zhang, Xiyuan Wang, C. Zhou, 2023, ICML.

Boosting the Cycle Counting Power of Graph Neural Networks with I2-GNNs

Jianzhu Ma, Muhan Zhang, Xingang Peng, 2022, ICLR.

Is Distance Matrix Enough for Geometric Deep Learning?

Muhan Zhang, Xiyuan Wang, Yinan Huang, 2023, ArXiv.

Towards Better Evaluation of GNN Expressiveness with BREC Dataset

Muhan Zhang, Yanbo Wang, 2023, ArXiv.

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Song-Chun Zhu, Song-Chun Zhu, Zilong Zheng, 2023, ArXiv.

Efficient Dynamic Graph Representation Learning at Scale pdf

Xinshi Chen, Muhan Zhang, Yan Zhu, 2021, ArXiv.

MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy

Yibo Lin, Muhan Zhang, Yifan Chen, 2023, 2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC).

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models

Zhouchen Lin, Y. Hu, Muhan Zhang, 2023, ArXiv.

BoostGAPFILL: improving the fidelity of metabolic network reconstructions through integrated constraint and pattern‐based methods

Yixin Chen, Yinjie J. Tang, Tolutola Oyetunde, 2016, Bioinform..

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs

J. Leskovec, Wentao Zhang, Bin Cui, 2023, ArXiv.

GLASS: GNN WITH L ABELING T RICKS FOR S UBGRAPH R EPRESENTATION L EARNING

Muhan Zhang, Xiyuan Wang, 2022 .

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models

Zhouchen Lin, Y. Hu, Muhan Zhang, 2023, ArXiv.

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Haoteng Yin, Pan Li, Hongya Wang, 2022, ICLR.

Is Distance Matrix Enough for Geometric Deep Learning?

Muhan Zhang, Xiyuan Wang, Yinan Huang, 2023, NeurIPS.

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs

J. Leskovec, Wentao Zhang, Bin Cui, 2023, 2308.02117.

How Powerful are K-hop Message Passing Graph Neural Networks

Fuhai Li, Yixin Chen, Muhan Zhang, 2022, NeurIPS.