Predicting multicellular function through multi-layer tissue networks

14 July 2017

Papers citing "Predicting multicellular function through multi-layer tissue networks"

50 / 208 papers shown

Title
Verifying Graph Neural Networks with Readout is Intractable Artem Chernobrovkin Marco Sälzer François Schwarzentruber Nicolas Troquard GNN 124 0 0 09 Oct 2025
GraphDerm: Fusing Imaging, Physical Scale, and Metadata in a Population-Graph Classifier for Dermoscopic Lesions Mehdi Yousefzadeh Parsa Esfahanian Sara Rashidifar Hossein Salahshoor Gavalan Negar Sadat Rafiee Tabatabaee Saeid Gorgin Dara Rahmati Maryam Daneshpazhooh MedIm 95 0 0 14 Sep 2025
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? Michela Lapenna Caterina De Bacco 257 1 0 13 Jun 2025
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL Jinhui Pang Changqing Lin Hao Lin Zhihui Zhang Zhengjun Li Zhihui Zhang Xiaoshuai Hao CLL 278 0 0 18 Apr 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber E. Haber Eran Treister GNN AI4CE 406 2 0 25 Mar 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2025 Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 479 3 0 23 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 175 2 0 17 Jan 2025
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning Hongyi Yuan Suqi Liu Kelly Cho Katherine P. Liao Alexandre Pereira T. Cai MedIm 125 0 0 14 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 235 1 0 13 Oct 2024
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling K. Mancini I. Rekik 164 2 0 29 Sep 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2024 Jiong Zhu Gaotang Li Yao-An Yang Jing Zhu Xuehao Cui Danai Koutra 159 8 0 26 Sep 2024
Boosting Graph Foundation Model from Structural Perspective Yao Cheng Yige Zhao Jianxiang Yu Xiang Li 270 5 0 29 Jul 2024
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 153 4 0 22 Jul 2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 212 0 0 21 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 251 32 0 31 May 2024
Generating Robust Counterfactual Witnesses for Graph Neural Networks Dazhuo Qiu Mengying Wang Arijit Khan Yinghui Wu 213 5 0 30 Apr 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU Zhongming Yu Genghan Zhang Hanxian Huang Xin Chen Jishen Zhao GNN 271 0 0 03 Apr 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks Sukhdeep Singh Anuj Sharma Vinod Kumar Chauhan 247 1 0 22 Mar 2024
xLP: Explainable Link Prediction for Master Data Management Balaji Ganesan Matheen Ahmed Pasha Srinivas Parkala Neeraj R Singh Gayatri Mishra S. Bhatia Hima Patel Somashekar Naganna Sameep Mehta 104 1 0 14 Mar 2024
Attention is all you need for boosting graph convolutional neural network Yinwei Wu GNN 183 0 0 10 Mar 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 409 19 0 15 Feb 2024
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization Ali Saheb Pasand Reza Moravej Mahdi Biparva Ali Ghodsi 140 2 0 14 Feb 2024
Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy Zehao Dong Yixin Chen Hiram Gay Yao Hao Geoff Hugo Pamela Samson Tianyu Zhao 121 1 0 11 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding RepresentationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 197 8 0 28 Jan 2024
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs Christopher Adnel I. Rekik GNN 99 0 0 27 Dec 2023
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2023 Qirui Ji Jiangmeng Li Jie Hu Rui Wang Changwen Zheng Jianwei Niu 195 20 0 16 Dec 2023
Concept-free Causal Disentanglement with Variational Graph Auto-Encoder Jingyun Feng Lin Zhang Lili Yang BDL CoGe CML 165 2 0 17 Nov 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning ApproachNeural Information Processing Systems (NeurIPS), 2023 Nurendra Choudhary Nikhil S. Rao Chandan K. Reddy 155 11 0 29 Oct 2023
A Hybrid Graph Network for Complex Activity Detection in VideoIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Salman Khan Izzeddin Teeti Andrew Bradley Mohamed Elhoseiny Fabio Cuzzolin 259 2 0 26 Oct 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label NoiseKnowledge Discovery and Data Mining (KDD), 2023 Yao Cheng Caihua Shan Yifei Shen Xiang Li Siqiang Luo Dongsheng Li 236 9 0 25 Oct 2023
STRIDE: Structure and Embedding Distillation with Attention for Graph Neural Networks Anshul Ahluwalia Rohit Das Rohit Das Alind Khare Biswadeep Chakraborty Pan Li Alexey Tumanov 275 2 0 24 Oct 2023
Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework Haoran Cheng Dixin Luo Hongteng Xu OT 301 0 0 18 Oct 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural NetworksAsian Conference on Machine Learning (ACML), 2023 Andreas Roth Thomas Liebig 135 0 0 02 Oct 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph DataNeural Information Processing Systems (NeurIPS), 2023 Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao 209 30 0 29 Sep 2023
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste ClassificationInternational Conference on Software Engineering and Computer Systems (ICSECS), 2023 Niful Islam Humaira Noor Md. Saddam Hossain Mukta Nur Shazwani Binti Kamarudin Mohaimenul Azam Khan Raiaan Sami Azam 141 11 0 28 Sep 2023
Efficient Low-Rank GNN Defense Against Structural Attacks Abdullah Alchihabi Qing En Yuhong Guo AAML 111 2 0 18 Sep 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 94 2 0 19 Aug 2023
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Guanghui Zhu Zhen-Wei Zhu Hongyang Chen Chun Yuan Jiaming Ji 176 6 0 04 Jul 2023
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge GraphsIEEE International Conference on Data Engineering (ICDE), 2023 Dalong Zhang Xianzheng Song Zhiyang Hu Yang Li Miao Tao Binbin Hu Lin Wang Qing Cui Jun Zhou GNN 169 4 0 01 Jul 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Luke Huan GNN AI4CE 181 32 0 24 Jun 2023
The Split Matters: Flat Minima Methods for Improving the Performance of GNNsInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2023 N. Lell A. Scherp 164 2 0 15 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on GraphsKnowledge Discovery and Data Mining (KDD), 2023 William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 213 8 0 12 Jun 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph MatchingInternational Conference on Machine Learning (ICML), 2023 Xuanzhou Liu Lin Zhang Jiaqi Sun Yujiu Yang Haiqing Yang 129 6 0 10 Jun 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 206 50 0 23 May 2023
Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 143 10 0 05 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUsInternational Conference on Supercomputing (ICS), 2023 Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 251 8 0 04 May 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsEuropean Conference on Artificial Intelligence (ECAI), 2023 A. Arvindh Aakash Aanegola Amul Agrawal Ramasuri Narayanam Ponnurangam Kumaraguru 161 1 0 10 Apr 2023
Feature propagation as self-supervision signals on graphsKnowledge-Based Systems (KBS), 2023 Oscar Pina Verónica Vilaplana SSL 148 2 0 15 Mar 2023
Diffusion Probabilistic Models for Structured Node ClassificationNeural Information Processing Systems (NeurIPS), 2023 Hyosoon Jang Seonghyun Park Sangwoo Mo SungSoo Ahn DiffM 248 5 0 21 Feb 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs Nhat-Khang Ngô Truong-Son Hy Risi Kondor GNN BDL 112 2 0 17 Feb 2023