MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights

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MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights

21 December 2024

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Papers citing "MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights"

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Title
GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model Yali Fu Jindong Li Qi Wang Qianli Xing Mamba 137 0 0 23 Mar 2025
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding Jingjing Hu Dan Guo Kun Li Zhan Si Xun Yang Xiaojun Chang Meng Wang 132 3 0 21 Mar 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe X. Wang Oleksii Tsepa Jun Ma Bo Wang Mamba 99 95 0 01 Feb 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Albert Gu Tri Dao Mamba 168 2,848 0 01 Dec 2023
Improving Self-supervised Molecular Representation Learning using Persistent Homology Yuankai Luo Lei Shi Veronika Thost SSL 97 8 0 29 Nov 2023
Molecular Contrastive Learning with Chemical Element Knowledge Graph Yin Fang Qiang Zhang Haihong Yang Xiang Zhuang Shumin Deng Wen Zhang Minghai Qin Zhuo Chen Xiaohui Fan Huajun Chen 71 112 0 01 Dec 2021
Deep Molecular Representation Learning via Fusing Physical and Chemical Information Shuwen Yang Ziyao Li Guojie Song Lingsheng Cai AI4CE 102 31 0 28 Nov 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 197 322 0 07 Oct 2021
Molecule Generation by Principal Subgraph Mining and Assembling Xiangzhe Kong Wenbing Huang Zhixing Tan Yang Liu GNN 99 47 0 29 Jun 2021
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction Xiaomin Fang Lihang Liu Jieqiong Lei Donglong He Shanzhuo Zhang Jingbo Zhou Fan Wang Hua Wu Haifeng Wang AI4CE 82 461 0 11 Jun 2021
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures Shuo-feng Zhang Yang Liu Lei Xie GNN 78 60 0 15 Nov 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 151 881 0 06 Mar 2020
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 133 1,423 0 29 May 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 307 7,746 0 01 Oct 2018
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 170 1,088 0 26 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 983 133,557 0 12 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 800 7,519 0 04 Apr 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 394 1,851 0 02 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 790 29,313 0 09 Sep 2016