Column Networks for Collective Classification

15 September 2016

Papers citing "Column Networks for Collective Classification"

50 / 73 papers shown

Title
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model O. Duranthon L. Zdeborová 57 0 0 03 Mar 2025
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 45 1 0 07 Oct 2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 23 0 0 28 Dec 2023
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 33 1 0 12 Nov 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 31 2 0 14 Sep 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Yuecai Zhu Fuyuan Lyu Chengming Hu X. Chen Xue Liu AI4TS AI4CE 21 20 0 20 Mar 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 38 12 0 17 Feb 2022
One-Shot Learning on Attributed Sequences Zhongfang Zhuang Xiangnan Kong Elke A. Rundensteiner Aditya Arora Jihane Zouaoui BDL 36 2 0 23 Jan 2022
TextRGNN: Residual Graph Neural Networks for Text Classification Jiayuan Chen Boyu Zhang Yinfei Xu Meng Wang 33 4 0 30 Dec 2021
Asymmetric Graph Representation Learning Zhuo Tan B. Liu Guosheng Yin 24 1 0 14 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 33 50 0 06 Oct 2021
Semi-Supervised Deep Learning for Multiplex Networks Anasua Mitra Priyesh Vijayan Ranbir Sanasam D. Goswami Srinivasan Parthasarathy Balaraman Ravindran GNN 35 18 0 05 Oct 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data I-Chung Hsieh Cheng-Te Li AAML 25 23 0 22 Jun 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 24 11 0 18 May 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 24 140 0 27 Mar 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 84 193 0 26 Feb 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 56 3 0 24 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 27 117 0 16 Dec 2020
MLAS: Metric Learning on Attributed Sequences Zhongfang Zhuang Xiangnan Kong Elke A. Rundensteiner Jihane Zouaoui Aditya Arora 24 1 0 08 Nov 2020
Graph Attention Networks for Speaker Verification Jee-weon Jung Hee-Soo Heo Ha-Jin Yu Joon Son Chung 25 26 0 22 Oct 2020
Tracklets Predicting Based Adaptive Graph Tracking Chaobing Shan Chunbo Wei Bing Deng Jianqiang Huang Xiansheng Hua Xiaoliang Cheng K. Liang VOT 33 9 0 18 Oct 2020
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations Wenfeng Liu Maoguo Gong Zedong Tang •. A. K. Qin GNN 39 13 0 12 Oct 2020
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks Guohao Li Mengmeng Xu Silvio Giancola Ali K. Thabet Guohao Li 3DPC 24 9 0 24 Aug 2020
SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features Yaniv Shulman 16 0 0 03 Jun 2020
User Memory Reasoning for Conversational Recommendation Hu Xu Seungwhan Moon Honglei Liu Bing-Quan Liu Pararth Shah Bing Liu Philip S. Yu OffRL 19 42 0 30 May 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 27 87 0 22 Apr 2020
Geometrically Principled Connections in Graph Neural Networks Shunwang Gong Mehdi Bahri M. Bronstein S. Zafeiriou GNN AI4CE 19 21 0 06 Apr 2020
Temporal Network Representation Learning via Historical Neighborhoods Aggregation Shixun Huang Z. Bao Guoliang Li Yanghao Zhou J. Culpepper AI4TS 14 18 0 30 Mar 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 32 170 0 27 Mar 2020
A Collective Learning Framework to Boost GNN Expressiveness Mengyue Hang Jennifer Neville Bruno Ribeiro AI4CE 27 4 0 26 Mar 2020
Non-Parametric Learning of Lifted Restricted Boltzmann Machines Navdeep Kaur Gautam Kunapuli Sriraam Natarajan 21 4 0 09 Jan 2020
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 68 687 0 28 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 168 0 15 Oct 2019
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions Shupeng Gui Xiangliang Zhang Pan Zhong Shuang Qiu Mingrui Wu Jieping Ye Zhengdao Wang Ji Liu 27 15 0 25 Sep 2019
Neural Networks for Relational Data Navdeep Kaur Gautam Kunapuli Saket Joshi Kristian Kersting Sriraam Natarajan GNN NAI 16 7 0 28 Aug 2019
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures Ruo-Chun Tzeng Shan-Hung Wu GNN 16 13 0 23 Jun 2019
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice M. Das Devendra Singh Dhami Yang Yu Gautam Kunapuli Sriraam Natarajan 16 0 0 31 May 2019
Advancing GraphSAGE with A Data-Driven Node Sampling Jihun Oh Kyunghyun Cho Joan Bruna 14 26 0 29 Apr 2019
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice M. Das Yang Yu Devendra Singh Dhami Gautam Kunapuli Sriraam Natarajan 25 0 0 15 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 42 1,330 0 07 Apr 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 28 568 0 22 Feb 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 28 613 0 23 Jan 2019
Multiple Graph Adversarial Learning Bo Jiang Ziyan Zhang Jin Tang Bin Luo 11 1 0 22 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 27 388 0 05 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 165 8,393 0 03 Jan 2019
Graph Transformation Policy Network for Chemical Reaction Prediction Kien Do T. Tran Svetha Venkatesh 35 158 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Yuchen Zhang Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 37 5,416 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 56 1,321 0 11 Dec 2018
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion Mingmin Zhen Jinglu Wang Lei Zhou Jinbo Bi Tian Fang Long Quan GNN 22 584 0 11 Nov 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 33 78 0 25 Oct 2018