Predicting multicellular function through multi-layer tissue networks

14 July 2017

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

50 / 91 papers shown

Title
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 75 1 0 11 Feb 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 55 1 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 57 0 0 17 Jan 2025
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 41 0 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 43 0 0 21 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 47 10 0 31 May 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks Sukhdeep Singh Anuj Sharma Vinod Kumar Chauhan 39 0 0 22 Mar 2024
Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework Haoran Cheng Dixin Luo Hongteng Xu OT 23 0 0 18 Oct 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching Xuanzhou Liu Lin Zhang Jiaqi Sun Yujiu Yang Haiqing Yang 30 2 0 10 Jun 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 48 23 0 23 May 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs A. Arvindh Aakash Aanegola Amul Agrawal Ramasuri Narayanam Ponnurangam Kumaraguru 32 0 0 10 Apr 2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport Jianheng Tang Jiexia Ye Jiajin Li Kangfei Zhao Fugee Tsung Jia Li OT 20 19 0 30 Jan 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 37 14 0 28 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 37 1 0 28 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 25 179 0 19 Jan 2023
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 52 14 0 28 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 46 7 0 26 Nov 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 22 3 0 25 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 46 10 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 46 57 0 14 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 45 49 0 02 Oct 2022
Revisiting Embeddings for Graph Neural Networks S. Purchase A. Zhao Robert D. Mullins 16 3 0 19 Sep 2022
Neural Structured Prediction for Inductive Node Classification Meng Qu Huiyu Cai Jian Tang BDL GNN 18 18 0 15 Apr 2022
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks Joshua Melton Michael Ridenhour S. Krishnan GNN 19 1 0 03 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 46 108 0 01 Mar 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 51 25 0 16 Feb 2022
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition Zhigang Tu Jiaxu Zhang Hongyan Li Yujin Chen Junsong Yuan 40 76 0 08 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 50 106 0 04 Feb 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 29 0 0 30 Jan 2022
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification Sean Current Yuntian He Saket Gurukar Srinivas Parthasarathy 33 13 0 27 Jan 2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 47 43 0 23 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation Sixiao Zhang Hongxu Chen Xiangguo Sun Yicong Li Guandong Xu AAML SSL 25 42 0 20 Jan 2022
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amilcar Soares Franccois Théberge 27 3 0 13 Dec 2021
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 33 34 0 13 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang Yunze Man Zhao Song Zheng Yu Danyang Zhuo 34 6 0 04 Dec 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 37 274 0 18 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 24 5 0 29 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 28 38 0 27 Sep 2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware Xin Liu Yurui Lai Shuhan Song Zhengyang Lv Wenming Li Guangyu Sun Xiaochun Ye Xiaochun Ye 24 13 0 26 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
Graph Representation Learning on Tissue-Specific Multi-Omics Amine Amor Pietro Lio Vikash Singh Ramon Vinas Torné Helena Andrés-Terré AI4CE 14 2 0 25 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 38 114 0 06 Jul 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 21 135 0 04 Jun 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 35 243 0 16 May 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks Hao Peng Ruitong Zhang Yingtong Dou Renyu Yang Jingyi Zhang Philip S. Yu 41 115 0 16 Apr 2021
Generative Causal Explanations for Graph Neural Networks Wanyu Lin Hao Lan Baochun Li CML 36 173 0 14 Apr 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 25 28 0 07 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 27 85 0 01 Mar 2021