Muhan Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 110

Top Venues

Publications

Xiaohui Zhang, Yanbo Wang, Xiyuan Wang, Muhan Zhang
Efficient Neural Common Neighbor for Temporal Graph Link Prediction. CoRR (2024)
Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
On the Stability of Expressive Positional Encodings for Graphs. ICLR (2024)
Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang
An Efficient Subgraph GNN with Provable Substructure Counting Power. KDD (2024)
Cai Zhou, Xiyuan Wang, Muhan Zhang
Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs. CoRR (2024)
Zehao Dong, Muhan Zhang, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. ICLR (2024)
Jiarui Feng, Hao Liu, Lecheng Kong, Yixin Chen, Muhan Zhang
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models. CoRR (2024)
Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang
One For All: Towards Training One Graph Model For All Classification Tasks. ICLR (2024)
Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. CoRR (2024)
Xiyuan Wang, Pan Li, Muhan Zhang
Graph as Point Set. CoRR (2024)
Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR (2024)
Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. CoRR (2024)
Zehao Dong, Muhan Zhang, Yixin Chen
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling. CoRR (2024)
Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
Foundations and Frontiers of Graph Learning Theory. CoRR (2024)
Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. WWW (2024)
Yi Hu, Xiaojuan Tang, Haotong Yang, Muhan Zhang
Case-Based or Rule-Based: How Do Transformers Do the Math? CoRR (2024)
Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang
RulE: Knowledge Graph Reasoning with Rule Embedding. ACL (Findings) (2024)
Fanxu Meng, Zhaohui Wang, Muhan Zhang
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models. CoRR (2024)
Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang
On the Completeness of Invariant Geometric Deep Learning Models. CoRR (2024)
Xiyuan Wang, Haotong Yang, Muhan Zhang
Neural Common Neighbor with Completion for Link Prediction. ICLR (2024)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR (2024)
Xiyuan Wang, Muhan Zhang
PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network. CoRR (2023)
Cai Zhou, Xiyuan Wang, Muhan Zhang
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. CoRR (2023)
Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power. NeurIPS (2023)
Xiaojuan Tang, Zilong Zheng, Jiaqi Li, Fanxu Meng, Song-Chun Zhu, Yitao Liang, Muhan Zhang
Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners. CoRR (2023)
Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang
Is Distance Matrix Enough for Geometric Deep Learning? CoRR (2023)
Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. CoRR (2023)
Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. NeurIPS (2023)
Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher R. King
Time Associated Meta Learning for Clinical Prediction. CoRR (2023)
Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. Proc. VLDB Endow. 16 (11) (2023)
Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
On the Stability of Expressive Positional Encodings for Graph Neural Networks. CoRR (2023)
Yifan Chen, Jing Mai, Xiaohan Gao, Muhan Zhang, Yibo Lin
MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy. ASP-DAC (2023)
Xiyuan Wang, Haotong Yang, Muhan Zhang
Neural Common Neighbor with Completion for Link Prediction. CoRR (2023)
Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. CoRR (2023)
Yanbo Wang, Muhan Zhang
Towards Better Evaluation of GNN Expressiveness with BREC Dataset. CoRR (2023)
Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang
One for All: Towards Training One Graph Model for All Classification Tasks. CoRR (2023)
Cai Zhou, Xiyuan Wang, Muhan Zhang
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. NeurIPS (2023)
Muhan Zhang
Neural Attention: Enhancing QKV Calculation in Self-Attention Mechanism with Neural Networks. CoRR (2023)
Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. CoRR (2023)
Cai Zhou, Xiyuan Wang, Muhan Zhang
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. ICML (2023)
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR (2023)
Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs. ICLR (2023)
Fanxu Meng, Haotong Yang, Yiding Wang, Muhan Zhang
Chain of Images for Intuitively Reasoning. CoRR (2023)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR (2023)
Jiaqi Li, Mengmeng Wang, Zilong Zheng, Muhan Zhang
LooGLE: Can Long-Context Language Models Understand Long Contexts? CoRR (2023)
Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
) Space by Rethinking Folklore Weisfeiler-Lehman. CoRR (2023)
Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power. CoRR (2023)
Cai Zhou, Xiyuan Wang, Muhan Zhang
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. CoRR (2023)
Haotong Yang, Fanxu Meng, Zhouchen Lin, Muhan Zhang
Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure. CoRR (2023)
Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang
Is Distance Matrix Enough for Geometric Deep Learning? NeurIPS (2023)
Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. NeurIPS (2023)
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. CoRR (2023)
Yi Hu, Haotong Yang, Zhouchen Lin, Muhan Zhang
Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models. CoRR (2023)
Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li
Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. CoRR (2023)
Xiyuan Wang, Pan Li, Muhan Zhang
Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks. CoRR (2023)
Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang
Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs. CoRR (2023)
Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. CoRR (2022)
Yang Hu, Xiyuan Wang, Zhouchen Lin, Pan Li, Muhan Zhang
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction. CoRR (2022)
Xiyuan Wang, Muhan Zhang
Graph Neural Network With Local Frame for Molecular Potential Energy Surface. LoG (2022)
Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang
RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding. CoRR (2022)
Haotong Yang, Zhouchen Lin, Muhan Zhang
Rethinking Knowledge Graph Evaluation Under the Open-World Assumption. CoRR (2022)
Xiyuan Wang, Muhan Zhang
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning. ICLR (2022)
Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. CoRR (2022)
Haotong Yang, Zhouchen Lin, Muhan Zhang
Rethinking Knowledge Graph Evaluation Under the Open-World Assumption. NeurIPS (2022)
Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. Proc. VLDB Endow. 15 (11) (2022)
Xiyuan Wang, Muhan Zhang
How Powerful are Spectral Graph Neural Networks. CoRR (2022)
Xiyuan Wang, Muhan Zhang
Graph Neural Network with Local Frame for Molecular Potential Energy Surface. CoRR (2022)
Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR (2022)
Xiyuan Wang, Muhan Zhang
How Powerful are Spectral Graph Neural Networks. ICML (2022)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. CoRR (2022)
Lecheng Kong, Yixin Chen, Muhan Zhang
Geodesic Graph Neural Network for Efficient Graph Representation Learning. CoRR (2022)
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. LoG (2022)
Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. CoRR (2022)
Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. CoRR (2022)
Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
-GNNs. CoRR (2022)
Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
How Powerful are K-hop Message Passing Graph Neural Networks. NeurIPS (2022)
Lecheng Kong, Yixin Chen, Muhan Zhang
Geodesic Graph Neural Network for Efficient Graph Representation Learning. NeurIPS (2022)
Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. ICLR (2022)
Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. ICML (2022)
Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
How Powerful are K-hop Message Passing Graph Neural Networks. CoRR (2022)
Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. ICML (2022)
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. NeurIPS (2021)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. 74 (2021)
Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song
Efficient Dynamic Graph Representation Learning at Scale. CoRR (2021)
Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks. CoRR (2021)
Muhan Zhang, Pan Li
Nested Graph Neural Networks. CoRR (2021)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS (2021)
Xiang Song, Runjie Ma, Jiahang Li, Muhan Zhang, David Paul Wipf
Network In Graph Neural Network. CoRR (2021)
Muhan Zhang, Pan Li
Nested Graph Neural Networks. NeurIPS (2021)
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
Revisiting Graph Neural Networks for Link Prediction. CoRR (2020)
Muhan Zhang, Christopher R. King, Michael Avidan, Yixin Chen
Hierarchical Attention Propagation for Healthcare Representation Learning. KDD (2020)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR (2020)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Andrey Malevich, Ren Chen
Deep Graph Neural Networks with Shallow Subgraph Samplers. CoRR (2020)
Muhan Zhang, Yixin Chen
Inductive Matrix Completion Based on Graph Neural Networks. ICLR (2020)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) (2020)
Muhan Zhang, Yixin Chen
Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network. CoRR (2019)
Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. NeurIPS (2019)
Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. CoRR (2019)
Zhicheng Cui, Muhan Zhang, Yixin Chen
Deep Embedding Logistic Regression. ICBK (2018)
Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen
An End-to-End Deep Learning Architecture for Graph Classification. AAAI (2018)
Muhan Zhang, Yixin Chen
Link Prediction Based on Graph Neural Networks. NeurIPS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Muhan Zhang