Towards a Google Glass Based Head Control Communication System for People with Disabilities. - James Gips; Muhan Zhang; Deirdre Anderson (HCI (28), 2015)

Active learning for ranking with sample density. - Wenbin Cai; Muhan Zhang; Ya Zhang 002 (Inf. Retr. J., 2015)

Active Learning for Web Search Ranking via Noise Injection. - Wenbin Cai; Muhan Zhang; Ya Zhang 002 (ACM Trans. Web, 2015)

WUFlux: an open-source platform for 13C metabolic flux analysis of bacterial metabolism. - Lian He; Stephen Gang Wu; Muhan Zhang; Yixin Chen 001; Yinjie J. Tang (BMC Bioinform., 2016)

Recovering Metabolic Networks using A Novel Hyperlink Prediction Method. - Muhan Zhang; Zhicheng Cui; Tolutola Oyetunde; Yinjie J. Tang; Yixin Chen 001 (CoRR, 2016)

Weisfeiler-Lehman Neural Machine for Link Prediction. - Muhan Zhang; Yixin Chen 001 (KDD, 2017)

BoostGAPFILL: improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods. - Tolutola Oyetunde; Muhan Zhang; Yixin Chen 001; Yinjie J. Tang; Cynthia Lo (Bioinform., 2017)

Batch Mode Active Learning for Regression With Expected Model Change. - Wenbin Cai; Muhan Zhang; Ya Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. - Muhan Zhang; Zhicheng Cui; Shali Jiang 001; Yixin Chen 001 (AAAI, 2018)

An End-to-End Deep Learning Architecture for Graph Classification. - Muhan Zhang; Zhicheng Cui; Marion Neumann; Yixin Chen 001 (AAAI, 2018)

Deep Embedding Logistic Regression. - Zhicheng Cui; Muhan Zhang; Yixin Chen 001 (ICBK, 2018)

Link Prediction Based on Graph Neural Networks. - Muhan Zhang; Yixin Chen 001 (NeurIPS, 2018)

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. - Muhan Zhang; Shali Jiang 001; Zhicheng Cui; Roman Garnett; Yixin Chen 001 (NeurIPS, 2019)

Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network. - Muhan Zhang; Yixin Chen 001 (CoRR, 2019)

Inductive Matrix Completion Based on Graph Neural Networks. - Muhan Zhang; Yixin Chen 001 (ICLR, 2020)

Hierarchical Attention Propagation for Healthcare Representation Learning. - Muhan Zhang; Christopher Ryan King; Michael Avidan; Yixin Chen 001 (KDD, 2020)

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (7), 2020)

Revisiting Graph Neural Networks for Link Prediction. - Muhan Zhang; Pan Li 005; Yinglong Xia; Kai Wang; Long Jin (CoRR, 2020)

Decoupling the Depth and Scope of Graph Neural Networks. - Hanqing Zeng; Muhan Zhang; Yinglong Xia; Ajitesh Srivastava; Andrey Malevich; Rajgopal Kannan; Viktor K. Prasanna; Long Jin; Ren Chen (NeurIPS, 2021)

Nested Graph Neural Networks. - Muhan Zhang; Pan Li 005 (NeurIPS, 2021)

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. - Muhan Zhang; Pan Li 005; Yinglong Xia; Kai Wang; Long Jin (NeurIPS, 2021)

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks. - Changlin Wan; Muhan Zhang; Wei Hao; Sha Cao; Pan Li 005; Chi Zhang 021 (CoRR, 2021)

Network In Graph Neural Network. - Xiang Song 003; Runjie Ma; Jiahang Li 002; Muhan Zhang; David Paul Wipf (CoRR, 2021)

Efficient Dynamic Graph Representation Learning at Scale. - Xinshi Chen; Yan Zhu; Haowen Xu; Mengyang Liu; Liang Xiong; Muhan Zhang; Le Song (CoRR, 2021)

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Siyuan Gao; Juntang Zhuang; Dustin Scheinost; Lawrence H. Staib; Pamela Ventola; James S. Duncan (Medical Image Anal., 2021)

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. - Haorui Wang; Haoteng Yin; Muhan Zhang; Pan Li 005 (ICLR, 2022)

GLASS: GNN with Labeling Tricks for Subgraph Representation Learning. - Xiyuan Wang; Muhan Zhang (ICLR, 2022)

PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. - Zehao Dong; Muhan Zhang; Fuhai Li 001; Yixin Chen 001 (ICML, 2022)

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. - Yinan Huang; Xingang Peng; Jianzhu Ma; Muhan Zhang (ICML, 2022)

How Powerful are Spectral Graph Neural Networks. - Xiyuan Wang; Muhan Zhang (ICML, 2022)

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. - Zhaohui Wang; Qi Cao; Huawei Shen; Bingbing Xu 001; Muhan Zhang; Xueqi Cheng (LoG, 2022)

Graph Neural Network With Local Frame for Molecular Potential Energy Surface. - Xiyuan Wang; Muhan Zhang (LoG, 2022)

How Powerful are K-hop Message Passing Graph Neural Networks. - Jiarui Feng; Yixin Chen 001; Fuhai Li 001; Anindya Sarkar; Muhan Zhang (NeurIPS, 2022)

Geodesic Graph Neural Network for Efficient Graph Representation Learning. - Lecheng Kong; Yixin Chen 001; Muhan Zhang (NeurIPS, 2022)

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption. - Haotong Yang; Zhouchen Lin; Muhan Zhang (NeurIPS, 2022)

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction. - Yang Hu; Xiyuan Wang; Zhouchen Lin; Pan Li 005; Muhan Zhang (CoRR, 2022)

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). - Hao Wang 014; Wanyu Lin; Hao He 011; Di Wang 015; Chengzhi Mao; Muhan Zhang (CoRR, 2022)

Boosting the Cycle Counting Power of Graph Neural Networks with I2-GNNs. - Yinan Huang; Xingang Peng; Jianzhu Ma; Muhan Zhang (CoRR, 2022)

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding. - Xiaojuan Tang; Song-Chun Zhu; Yitao Liang; Muhan Zhang (CoRR, 2022)

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. - Haoteng Yin; Muhan Zhang; Yanbang Wang; Jianguo Wang 001; Pan Li 005 (Proc. VLDB Endow., 2022)

MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy. - Yifan Chen; Jing Mai; Xiaohan Gao; Muhan Zhang; Yibo Lin (ASP-DAC, 2023)

CktGNN: Circuit Graph Neural Network for Electronic Design Automation. - Zehao Dong; Weidong Cao 001; Muhan Zhang; Dacheng Tao; Yixin Chen 001; Xuan Zhang 001 (ICLR, 2023)

Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs. - Yinan Huang; Xingang Peng; Jianzhu Ma; Muhan Zhang (ICLR, 2023)

From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. - Cai Zhou; Xiyuan Wang; Muhan Zhang (ICML, 2023)

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. - Jiarui Feng; Lecheng Kong; Hao Liu 057; Dacheng Tao; Fuhai Li 001; Muhan Zhang; Yixin Chen 001 (NeurIPS, 2023)

MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. - Lecheng Kong; Jiarui Feng; Hao Liu 057; Dacheng Tao; Yixin Chen 001; Muhan Zhang (NeurIPS, 2023)

Is Distance Matrix Enough for Geometric Deep Learning? - Zian Li; Xiyuan Wang; Yinan Huang; Muhan Zhang (NeurIPS, 2023)

Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power. - Junru Zhou; Jiarui Feng; Xiyuan Wang; Muhan Zhang (NeurIPS, 2023)

Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. - Cai Zhou; Xiyuan Wang; Muhan Zhang (NeurIPS, 2023)

Time Associated Meta Learning for Clinical Prediction. - Hao Liu 057; Muhan Zhang; Zehao Dong; Lecheng Kong; Yixin Chen 001; Bradley A. Fritz; Dacheng Tao; Christopher Ryan King (CoRR, 2023)

Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs. - Zuoyu Yan; Junru Zhou; Liangcai Gao; Zhi Tang 001; Muhan Zhang (CoRR, 2023)

Towards Better Evaluation of GNN Expressiveness with BREC Dataset. - Yanbo Wang; Muhan Zhang (CoRR, 2023)

Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks. - Xiyuan Wang; Pan Li 005; Muhan Zhang (CoRR, 2023)

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners. - Xiaojuan Tang; Zilong Zheng; Jiaqi Li; Fanxu Meng; Song-Chun Zhu; Yitao Liang; Muhan Zhang (CoRR, 2023)

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models. - Yi Hu; Haotong Yang; Zhouchen Lin; Muhan Zhang (CoRR, 2023)

Towards Arbitrarily Expressive GNNs in O(n2) Space by Rethinking Folklore Weisfeiler-Lehman. - Jiarui Feng; Lecheng Kong; Hao Liu 057; Dacheng Tao; Fuhai Li 001; Muhan Zhang; Yixin Chen 001 (CoRR, 2023)

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (CoRR, 2023)

Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. - Zehao Dong; Muhan Zhang; Qihang Zhao; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Tianyu Zhao; Yixin Chen 001; Fuhai Li 001 (CoRR, 2023)

On the Stability of Expressive Positional Encodings for Graph Neural Networks. - Yinan Huang; William Lu; Joshua Robinson 001; Yu Yang; Muhan Zhang; Stefanie Jegelka; Pan Li 005 (CoRR, 2023)

Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure. - Haotong Yang; Fanxu Meng; Zhouchen Lin; Muhan Zhang (CoRR, 2023)

Neural Attention: Enhancing QKV Calculation in Self-Attention Mechanism with Neural Networks. - Muhan Zhang (CoRR, 2023)

Chain of Images for Intuitively Reasoning. - Fanxu Meng; Haotong Yang; Yiding Wang; Muhan Zhang (CoRR, 2023)

PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network. - Xiyuan Wang; Muhan Zhang (CoRR, 2023)

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. - Haoteng Yin; Muhan Zhang; Jianguo Wang 001; Pan Li 005 (Proc. VLDB Endow., 2023)

LooGLE: Can Long-Context Language Models Understand Long Contexts? - Jiaqi Li; Mengmeng Wang; Zilong Zheng; Muhan Zhang (ACL (1), 2024)

RulE: Knowledge Graph Reasoning with Rule Embedding. - Xiaojuan Tang; Song-Chun Zhu; Yitao Liang; Muhan Zhang (ACL (Findings), 2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (ICLR, 2024)

One For All: Towards Training One Graph Model For All Classification Tasks. - Hao Liu 057; Jiarui Feng; Lecheng Kong; Ningyue Liang; Dacheng Tao; Yixin Chen 001; Muhan Zhang (ICLR, 2024)

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. - Zehao Dong; Muhan Zhang; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Tianyu Zhao; Fuhai Li 001; Yixin Chen 001 (ICLR, 2024)

On the Stability of Expressive Positional Encodings for Graphs. - Yinan Huang; William Lu; Joshua Robinson 001; Yu Yang; Muhan Zhang; Stefanie Jegelka; Pan Li 005 (ICLR, 2024)

Neural Common Neighbor with Completion for Link Prediction. - Xiyuan Wang; Haotong Yang; Muhan Zhang (ICLR, 2024)

Case-Based or Rule-Based: How Do Transformers Do the Math? - Yi Hu; Xiaojuan Tang; Haotong Yang; Muhan Zhang (ICML, 2024)

Graph As Point Set. - Xiyuan Wang; Pan Li 005; Muhan Zhang (ICML, 2024)

An Empirical Study of Realized GNN Expressiveness. - Yanbo Wang; Muhan Zhang (ICML, 2024)

An Efficient Subgraph GNN with Provable Substructure Counting Power. - Zuoyu Yan; Junru Zhou; Liangcai Gao; Zhi Tang 001; Muhan Zhang (KDD, 2024)

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models. - Fanxu Meng; Zhaohui Wang; Muhan Zhang (NeurIPS, 2024)

Mars: Situated Inductive Reasoning in an Open-World Environment. - Xiaojuan Tang; Jiaqi Li; Yitao Liang; Song-Chun Zhu; Muhan Zhang; Zilong Zheng (NeurIPS, 2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. - Minjie Wang; Quan Gan; David Wipf; Zheng Zhang 001; Christos Faloutsos; Weinan Zhang 001; Muhan Zhang; Zhenkun Cai; Jiahang Li 002; Zunyao Mao; Yakun Song; Jianheng Tang; et al. (NeurIPS, 2024)

Unifying Generation and Prediction on Graphs with Latent Graph Diffusion. - Cai Zhou; Xiyuan Wang; Muhan Zhang (NeurIPS, 2024)

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. - Hao Liu 057; Jiarui Feng; Lecheng Kong; Dacheng Tao; Yixin Chen 001; Muhan Zhang (WWW, 2024)

Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs. - Cai Zhou; Xiyuan Wang; Muhan Zhang (CoRR, 2024)

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. - Zehao Dong; Qihang Zhao; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Muhan Zhang; Tianyu Zhao; Yixin Chen 001; Fuhai Li 001 (CoRR, 2024)

SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling. - Zehao Dong; Muhan Zhang; Yixin Chen 001 (CoRR, 2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. - Minjie Wang; Quan Gan; David Wipf; Zhenkun Cai; Ning Li 029; Jianheng Tang; Yanlin Zhang; Zizhao Zhang; Zunyao Mao; Yakun Song; Yanbo Wang; Jiahang Li 002; et al. (CoRR, 2024)

Efficient Neural Common Neighbor for Temporal Graph Link Prediction. - Xiaohui Zhang; Yanbo Wang; Xiyuan Wang; Muhan Zhang (CoRR, 2024)

TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models. - Jiarui Feng; Hao Liu 057; Lecheng Kong; Yixin Chen 001; Muhan Zhang (CoRR, 2024)

Foundations and Frontiers of Graph Learning Theory. - Yu Huang; Min Zhou 006; Menglin Yang 001; Zhen Wang; Muhan Zhang; Jie Wang 005; Hong Xie 004; Hao Wang 076; Defu Lian; Enhong Chen (CoRR, 2024)

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. - Lecheng Kong; Jiarui Feng; Hao Liu 059; Chengsong Huang; Jiaxin Huang 001; Yixin Chen; Muhan Zhang (CoRR, 2024)

On Lexical Invariance on Multisets and Graphs. - Muhan Zhang (CoRR, 2024)

Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective. - Junru Zhou; Muhan Zhang (CoRR, 2024)

Geometric Representation Condition Improves Equivariant Molecule Generation. - Zian Li; Cai Zhou; Xiyuan Wang; Xingang Peng; Muhan Zhang (CoRR, 2024)

Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors. - Junru Zhou; Cai Zhou; Xiyuan Wang; Pan Li; Muhan Zhang (CoRR, 2024)

Reconsidering the Performance of GAE in Link Prediction. - Weishuo Ma; Yanbo Wang; Xiyuan Wang; Muhan Zhang (CoRR, 2024)

CLOVER: Constrained Learning with Orthonormal Vectors for Eliminating Redundancy. - Fanxu Meng; Muhan Zhang (CoRR, 2024)

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model. - Haotong Yang; Xiyuan Wang; Qian Tao; Shuxian Hu; Zhouchen Lin; Muhan Zhang (CoRR, 2024)

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning. - Yansheng Mao; Jiaqi Li; Fanxu Meng; Jing Xiong; Zilong Zheng; Muhan Zhang (CoRR, 2024)

Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy. - Qian Tao; Xiyuan Wang; Muhan Zhang; Shuxian Hu; Wenyuan Yu; Jingren Zhou 001 (CoRR, 2024)

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. - Zhaogeng Liu; Feng Ji; Jielong Yang; Xiaofeng Cao 002; Muhan Zhang; Hechang Chen; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Ambiguities in neural-network-based hyperedge prediction. - Changlin Wan; Muhan Zhang; Pengtao Dang; Wei Hao; Sha Cao; Pan Li 005; Chi Zhang 021 (J. Appl. Comput. Topol., 2024)

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. - Lecheng Kong; Jiarui Feng; Hao Liu 057; Chengsong Huang; Jiaxin Huang 001; Yixin Chen; Muhan Zhang (ICLR, 2025)

On the Completeness of Invariant Geometric Deep Learning Models. - Zian Li; Xiyuan Wang; Shijia Kang; Muhan Zhang (ICLR, 2025)

Number Cookbook: Number Understanding of Language Models and How to Improve It. - Haotong Yang; Yi Hu; Shijia Kang; Zhouchen Lin; Muhan Zhang (ICLR, 2025)

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? - Haotian Xu; Xing Wu; Weinong Wang; Zhongzhi Li; Da Zheng; Boyuan Chen 008; Yi Hu; Shijia Kang; Jiaming Ji; Yingying Zhang; Zhijiang Guo; Yaodong Yang 001; et al. (CoRR, 2025)

Using Random Noise Equivariantly to Boost Graph Neural Networks Universally. - Xiyuan Wang; Muhan Zhang (CoRR, 2025)

Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? - Xiyuan Wang; Yewei Liu; Lexi Pang; Siwei Chen; Muhan Zhang (CoRR, 2025)

TransMLA: Multi-Head Latent Attention Is All You Need. - Fanxu Meng; Zengwei Yao; Muhan Zhang (CoRR, 2025)

Training Large Language Models to be Better Rule Followers. - Yi Hu; Shijia Kang; Haotong Yang; Haotian Xu; Muhan Zhang (CoRR, 2025)

LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning. - Yansheng Mao; Yufei Xu; Jiaqi Li; Fanxu Meng; Haotong Yang; Zilong Zheng; Xiyuan Wang; Muhan Zhang (CoRR, 2025)

VACT: A Video Automatic Causal Testing System and a Benchmark. - Haotong Yang; Qingyuan Zheng; Yunjian Gao; Yongkun Yang; Yangbo He; Zhouchen Lin; Muhan Zhang (CoRR, 2025)

GNNs as Predictors of Agentic Workflow Performances. - Yuanshuo Zhang; Yuchen Hou; Bohan Tang; Shuo Chen; Muhan Zhang; Xiaowen Dong 001; Siheng Chen (CoRR, 2025)

Adaptive graph diffusion networks: compact and expressive GNNs with large receptive fields. - Chuxiong Sun; Muhan Zhang; Jie Hu; Hongming Gu; Jinpeng Chen 001; Mingchuan Yang (Artif. Intell. Rev., 2025)

PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models. - Shi Qiu; Shaoyang Guo; Zhuo-Yang Song; Yunbo Sun; Zeyu Cai; Jiashen Wei; Tianyu Luo; Yixuan Yin 003; Haoxu Zhang; Yi Hu; Chenyang Wang; Chencheng Tang; et al. (CoRR, 2025)

Griffin: Towards a Graph-Centric Relational Database Foundation Model. - Yanbo Wang; Xiyuan Wang; Quan Gan; Minjie Wang; Qibin Yang; David Wipf; Muhan Zhang (CoRR, 2025)

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades. - Yanan Li; Fanxu Meng; Muhan Zhang; Shiai Zhu; Shangguang Wang; Mengwei Xu (CoRR, 2025)

HD-PiSSA: High-Rank Distributed Orthogonal Adaptation. - Yiding Wang; Fauxu Meng; Xuefeng Zhang; Fan Jiang; Pingzhi Tang; Muhan Zhang (CoRR, 2025)

OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction. - Juntong Wang; Xiyuan Wang; Muhan Zhang (CoRR, 2025)

Masked Language Models are Good Heterogeneous Graph Generalizers. - Jinyu Yang; Cheng Yang; Shanyuan Cui; Zeyuan Guo; Liangwei Yang; Muhan Zhang; Chuan Shi 001 (CoRR, 2025)

Meta Pruning via Graph Metanetworks : A Meta Learning Framework for Network Pruning. - Yewei Liu; Xiyuan Wang; Muhan Zhang (CoRR, 2025)

GeoRecon: Graph-Level Representation Learning for 3D Molecules via Reconstruction-Based Pretraining. - Shaoheng Yan; Zian Li; Muhan Zhang (CoRR, 2025)