Representation Learning on Graphs with Jumping Knowledge Networks

9 June 2018

Ken-ichi Kawarabayashi

Stefanie Jegelka

GNN

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Papers citing "Representation Learning on Graphs with Jumping Knowledge Networks"

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Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction Xinxing Wu Q. Cheng GNN AI4CE 20 11 0 21 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 35 10 0 12 Mar 2021
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Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 39 83 0 10 Mar 2021
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NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images Daniel Jiménez Sánchez M. Ariz Hang Chang X. Matías-Guiu C. E. Andrea Carlos Ortiz-de-Solórzano 14 0 0 09 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification Julian Busch Anton Kocheturov Volker Tresp Thomas Seidl 25 49 0 05 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lió M. Bronstein 48 247 0 04 Mar 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs Valentin Anklin Pushpak Pati Guillaume Jaume Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Jean-Philippe Thiran M. Sibony M. Gabrani O. Goksel 59 38 0 04 Mar 2021
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective Wei Huang Yayong Li Weitao Du Jie Yin R. Xu Ling-Hao Chen Miao Zhang 26 17 0 03 Mar 2021
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities Takeshi D. Itoh Takatomi Kubo K. Ikeda 31 29 0 02 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 19 16 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Wang Wenwu Zhu 19 85 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 566 0 28 Feb 2021
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding Menglin Yang Ziqiao Meng Irwin King 20 28 0 27 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 84 191 0 26 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 156 0 25 Feb 2021
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services Dominik Scheinert Alexander Acker 22 11 0 25 Feb 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 36 172 0 23 Feb 2021
Hierarchical Graph Representations in Digital Pathology Pushpak Pati Guillaume Jaume A. Foncubierta Florinda Feroce A. Anniciello ... G. Botti Jean-Philippe Thiran Maria Frucci O. Goksel M. Gabrani 23 117 0 22 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 36 324 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 77 0 22 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu Guoqiang Zhang Kenta Niwa 14 8 0 20 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 21 11 0 19 Feb 2021
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique Steph-Yves M. Louis Alireza Nasiri Fatima J. Rolland Cameron Mitro Jianjun Hu 68 9 0 17 Feb 2021
Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija V. Crespi Greg Ver Steeg Aram Galstyan 11 0 0 17 Feb 2021
REST: Relational Event-driven Stock Trend Forecasting W. Xu Weiqing Liu Chang Xu Jiang Bian Jian Yin Tie-Yan Liu 28 55 0 15 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 36 248 0 12 Feb 2021
Memory-Associated Differential Learning Yi Luo Aiguo Chen Bei Hui Ke Yan 36 3 0 10 Feb 2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning Elan Markowitz Keshav Balasubramanian Mehrnoosh Mirtaheri Sami Abu-El-Haija Bryan Perozzi Greg Ver Steeg Aram Galstyan 22 22 0 08 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 20 52 0 05 Feb 2021
Learning Graph Embeddings for Compositional Zero-shot Learning Muhammad Ferjad Naeem Yongqin Xian Federico Tombari Zeynep Akata CoGe 20 137 0 03 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 24 84 0 31 Jan 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 54 197 0 28 Jan 2021
Edge-Featured Graph Attention Network Jun Chen Hao-peng Chen GNN 14 34 0 19 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network Zhixiang Chen Tengfei Ma Zhihua Jin Yangqiu Song Yangkun Wang GNN 34 5 0 14 Jan 2021
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields Zun Wang Chong Wang Sibo Zhao Shiqiao Du Yong Xu B. Gu W. Duan AI4CE 27 14 0 08 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Hao Yuan Shuiwang Ji GNN 90 7 0 06 Jan 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 50 57 0 31 Dec 2020
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 23 12 0 30 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 25 18 0 24 Dec 2020
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 27 19 0 23 Dec 2020
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 121 244 0 23 Dec 2020
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 23 720 0 17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 0 16 Dec 2020
Breaking the Expressive Bottlenecks of Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 30 10 0 14 Dec 2020
Adversarial Permutation Guided Node Representations for Link Prediction Indradyumna Roy A. De Soumen Chakrabarti 30 14 0 13 Dec 2020
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification Daoming Zong Shiliang Sun 11 9 0 10 Dec 2020