vix.ing · top · new · best · stats · spec

Zhang, Muhan

  1. TransMLA: Multi-Head Latent Attention Is All You Need
    2025/02/11 by Fanxu Meng, Meng, Fanxu, Pingzhi Tang +9 · 10 voices · 5 citations
    Computer Science · #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.LG
  2. Link Prediction Based on Graph Neural Networks
    2018/02/27 by Zhang, Muhan, Chen, Yixin · 53 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
    2024/04/03 by Meng, Fanxu, Wang, Zhaohui, Zhang, Muhan · 49 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. One for All: Towards Training One Graph Model for All Classification Tasks
    2023/09/29 by Hao Liu, Jiarui Feng, Liu, Hao +11 · 39 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  5. How Powerful are Spectral Graph Neural Networks
    2022/05/23 by Wang, Xiyuan, Zhang, Muhan · 19 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. LooGLE: Can Long-Context Language Models Understand Long Contexts?
    2023/11/08 by Jiaqi Li, Mengmeng Wang, Li, Jiaqi +5 · 27 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  7. Nested Graph Neural Networks
    2021/10/25 by Muhan Zhang, Pan Li, Zhang, Muhan +1 · 1 voice · 5 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Materials Science #cs.LG
  8. D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
    2019/04/24 by Muhan Zhang, Shali Jiang, Zhang, Muhan +7 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Machine Learning in Healthcare
  9. Inductive Matrix Completion Based on Graph Neural Networks
    2019/04/26 by Muhan Zhang, Zhang, Muhan, Yixin Chen +1 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Topic Modeling
  10. Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node\n Representation Learning
    2020/10/30 by Muhan Zhang, Pan Li, Zhang, Muhan +7 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling
  11. Neural Common Neighbor with Completion for Link Prediction
    2023/02/02 by Xiyuan Wang, Wang, Xiyuan, Haotong Yang +3 · 8 citations
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Topic Modeling
  12. Number Cookbook: Number Understanding of Language Models and How to Improve It
    2024/11/06 by Haotong Yang, Yi Hu, Yang, Haotong +7 · 15 citations
    Mathematics · Psychology · Social Sciences · #Cognitive and developmental aspects of mathematical skills #Reading and Literacy Development #Education and Technology Integration
  13. CktGNN: Circuit Graph Neural Network for Electronic Design Automation
    2023/08/31 by Zehao Dong, Dong, Zehao, Weidong Cao +9 · 9 citations
    Engineering · Materials Science · #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning in Materials Science #VLSI and FPGA Design Techniques
  14. VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
    2023/08/04 by Yang, Ling, Tian, Ye, Xu, Minkai +7 · 7 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners
    2023/05/24 by Xiaojuan Tang, Tang, Xiaojuan, Zilong Zheng +11 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  16. How Powerful are K-hop Message Passing Graph Neural Networks
    2022/05/26 by Jiarui Feng, Yixin Chen, Feng, Jiarui +7 · 5 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Graph Theory and Algorithms
  17. GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
    2024/07/12 by Lecheng Kong, Jiarui Feng, Kong, Lecheng +11 · 9 citations
    Computer Science · #Semantic Web and Ontologies #Topic Modeling #Advanced Graph Neural Networks
  18. Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
    2022/03/01 by Haorui Wang, Haoteng Yin, Wang, Haorui +5 · 5 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Machine Learning in Materials Science #Graph Theory and Algorithms
  19. Chain of Images for Intuitively Reasoning
    2023/11/09 by Fanxu Meng, Meng, Fanxu, Haotong Yang +5 · 6 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  20. On the Stability of Expressive Positional Encodings for Graphs
    2023/10/04 by Yinan Huang, Huang, Yinan, William W. Lu +11 · 6 citations
    Computer Science · Engineering · Materials Science · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  21. Efficient Neural Common Neighbor for Temporal Graph Link Prediction
    2024/06/12 by Xiaohui Zhang, Zhang, Xiaohui, Yanbo Wang +5 · 6 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  22. An Empirical Study of Realized GNN Expressiveness
    2023/04/16 by Yanbo Wang, Muhan Zhang, Wang, Yanbo +1 · 4 citations
    Computer Science · Engineering · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning in Materials Science
  23. PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
    2025/04/22 by Shi Qiu, Shaoyang Guo, Qiu, Shi +98 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Online Learning and Analytics #Topic Modeling
  24. RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
    2025/01/20 by Haotian Xu, Xing Wu, Xu, Haotian +25 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. On the Completeness of Invariant Geometric Deep Learning Models
    2024/02/07 by Zian Li, Li, Zian, Xiyuan Wang +5 · 4 citations
    Earth and Planetary Sciences · Computer Science · #Geological Modeling and Analysis #Image Processing and 3D Reconstruction
  26. Is Distance Matrix Enough for Geometric Deep Learning?
    2023/02/11 by Zian Li, Xiyuan Wang, Li, Zian +5 · 3 citations
    Computer Science · #Graph Theory and Algorithms #Advanced Graph Neural Networks #Data Visualization and Analytics
  27. Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
    2024/02/04 by Zhou, Cai, Wang, Xiyuan, Zhang, Muhan · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  28. Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
    2023/06/05 by Jiarui Feng, Lecheng Kong, Feng, Jiarui +11 · 3 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  29. 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
    2022/05/15 by Huang, Yinan, Peng, Xingang, Ma, Jianzhu +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Boosting the Cycle Counting Power of Graph Neural Networks with I2-GNNs
    2022/10/22 by Yinan Huang, Xingang Peng, Huang, Yinan +5 · 2 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Advanced Graph Neural Networks
  31. An Efficient Subgraph GNN with Provable Substructure Counting Power
    2023/03/19 by Zuoyu Yan, Junru Zhou, Yan, Zuoyu +7 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
  32. Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
    2023/09/19 by Liu, Hao, Feng, Jiarui, Kong, Lecheng +3 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. Multi-Agent Evolve: LLM Self-Improve through Co-evolution
    2025/10/27 by Chen, Yixing, Wang, Yiding, Zhu, Siqi +5 · 8 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  34. Case-Based or Rule-Based: How Do Transformers Do the Math?
    2024/02/27 by Hu, Yi, Tang, Xiaojuan, Yang, Haotong +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  35. Geometric Representation Condition Improves Equivariant Molecule Generation
    2024/10/04 by Zian Li, Cai Cun Zhou, Li, Zian +7 · 3 citations
    Pharmacology, Toxicology and Pharmaceutics · #Artificial Intelligence (cs.AI) #Chemical Reactions and Isotopes #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Mars: Situated Inductive Reasoning in an Open-World Environment
    2024/10/10 by Xiaojuan Tang, Tang, Xiaojuan, Jiaqi Li +9 · 3 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Machine Learning (cs.LG) #Semantic Web and Ontologies
  37. TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
    2024/06/20 by Jiarui Feng, Hao Liu, Feng, Jiarui +8 · 2 citations
    Computer Science · #Advanced Graph Neural Networks
  38. Foundations and Frontiers of Graph Learning Theory
    2024/07/03 by Huang, Yu, Zhou, Min, Yang, Menglin +7 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
    2025/10/03 by Cai Zhou, Zhou, Cai, Chenxiao Yang +16 · 7 citations
    Computer Science · Social Sciences · #Topic Modeling #Language and cultural evolution #Generative Adversarial Networks and Image Synthesis
  40. PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
    2022/03/19 by Dong, Zehao, Zhang, Muhan, Li, Fuhai +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  41. Graph Neural Network with Local Frame for Molecular Potential Energy Surface
    2022/08/01 by Wang, Xiyuan, Zhang, Muhan · 1 citation
    #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  42. Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
    2022/09/19 by Yang, Haotong, Lin, Zhouchen, Zhang, Muhan · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  43. Griffin: Towards a Graph-Centric Relational Database Foundation Model
    2025/05/08 by Wang, Yanbo, Wang, Xiyuan, Gan, Quan +4 · 4 citations
    #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  44. From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
    2023/05/08 by Cai Zhou, Xiyuan Wang, Zhou, Cai +3 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Online Learning and Analytics
  45. RulE: Knowledge Graph Reasoning with Rule Embedding
    2022/10/24 by Tang, Xiaojuan, Zhu, Song-Chun, Liang, Yitao +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  46. GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
    2024/12/08 by Yang, Haotong, Wang, Xiyuan, Tao, Qian +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  47. GNNs as Predictors of Agentic Workflow Performances
    2025/03/14 by Zhang, Yuanshuo, Hou, Yuchen, Tang, Bohan +4 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  48. Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions?
    2025/02/04 by Wang, Xiyuan, Liu, Yewei, Pang, Lexi +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  49. LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
    2025/02/20 by Yansheng Mao, Yufei Xu, Mao, Yansheng +13 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  50. Deep Graph Neural Networks with Shallow Subgraph Samplers
    2020/12/02 by Hanqing Zeng, Muhan Zhang, Zeng, Hanqing +15 · 2 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Topic Modeling #Complex Network Analysis Techniques
  51. 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
    2024/04/28 by Wang, Minjie, Gan, Quan, Wipf, David +17 · 1 citation
    #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  52. Reconsidering the Performance of GAE in Link Prediction
    2024/11/06 by Weiguo Ma, Yanbo Wang, Ma, Weishuo +5 · 1 citation
    Computer Science · #Data Mining Algorithms and Applications
  53. LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning
    2024/12/18 by Yansheng Mao, Mao, Yansheng, Jiaqi Li +9 · 1 citation
    Engineering · #Robotics and Automated Systems
  54. GeoRecon: Graph-Level Representation Learning for 3D Molecules via Reconstruction-Based Pretraining
    2025/06/16 by Yan, Shaoheng, Li, Zian, Zhang, Muhan · 2 citations
    #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
  55. Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
    2025/02/04 by Xiyuan Wang, Muhan Zhang, Wang, Xiyuan +1 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications