How Powerful are Graph Neural Networks?

1 October 2018

Papers citing "How Powerful are Graph Neural Networks?"

50 / 1,172 papers shown

Title
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 22 24 0 14 Feb 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal K. Fountoulakis Aukosh Jagannath OODD 39 75 0 13 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 36 247 0 12 Feb 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification Timour Igamberdiev Ivan Habernal GNN 31 33 0 10 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 14 158 0 09 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 52 197 0 28 Jan 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 40 6 0 27 Jan 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 36 14 0 18 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 31 26 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 82 7 0 06 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 561 0 04 Jan 2021
Image-to-Image Retrieval by Learning Similarity between Scene Graphs Sangwoong Yoon Woo-Young Kang Sungwook Jeon SeongEun Lee C. Han Jonghun Park Eun-Sol Kim 3DH 29 39 0 29 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 22 18 0 24 Dec 2020
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights Lingxiao Zhao L. Akoglu 25 65 0 23 Dec 2020
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction Jingbo Zhou Shuangli Li Liang Huang Haoyi Xiong Fan Wang Tong Bill Xu Hui Xiong Dejing Dou GNN 26 12 0 17 Dec 2020
Communicative Message Passing for Inductive Relation Reasoning Sijie Mai Shuangjia Zheng Yuedong Yang Haifeng Hu LRM 23 101 0 16 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
Learning Aggregation Functions Giovanni Pellegrini Alessandro Tibo P. Frasconi Andrea Passerini M. Jaeger FedML 10 19 0 15 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction Junchen Ye Leilei Sun Bowen Du Yanjie Fu Hui Xiong GNN AI4TS 11 148 0 15 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 27 0 0 13 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 40 35 0 12 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 24 36 0 09 Dec 2020
A Deep Generative Model for Molecule Optimization via One Fragment Modification Ziqi Chen Martin Renqiang Min S. Parthasarathy Xia Ning 21 61 0 08 Dec 2020
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 21 63 0 08 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space Jianming Huang Zhongxi Fang Hiroyuki Kasai 23 19 0 07 Dec 2020
Learning Graph Neural Networks with Approximate Gradient Descent Qunwei Li Shaofeng Zou Leon Wenliang Zhong GNN 32 1 0 07 Dec 2020
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping Fatemeh Teimury Bruno Roy Juan Sebastián Casallas David MacDonald Mark J. Coates AI4CE 37 2 0 27 Nov 2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology Guillaume Jaume Pushpak Pati Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Florinda Feroce A. Anniciello T. Rau Jean-Philippe Thiran M. Gabrani O. Goksel FAtt 26 76 0 25 Nov 2020
Auto Graph Encoder-Decoder for Neural Network Pruning Sixing Yu Arya Mazaheri Ali Jannesari GNN 19 38 0 25 Nov 2020
Message Passing Networks for Molecules with Tetrahedral Chirality L. Pattanaik O. Ganea Ian Coley K. Jensen W. Green Connor W. Coley GNN 19 23 0 24 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 8 7 0 24 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 24 315 0 17 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 16 257 0 13 Nov 2020
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 33 539 0 09 Nov 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 115 0 09 Nov 2020
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships Xiaobai Ma Jiachen Li Mykel J. Kochenderfer David Isele K. Fujimura 11 61 0 09 Nov 2020
Graph Kernels: State-of-the-Art and Future Challenges Karsten M. Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Alexander Rieck AI4TS 31 101 0 07 Nov 2020
Learning with Molecules beyond Graph Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI GNN 19 3 0 06 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 15 13 0 05 Nov 2020
Watermarking Graph Neural Networks by Random Graphs Xiangyu Zhao Hanzhou Wu Xinpeng Zhang 19 36 0 01 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 19 186 0 30 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 18 142 0 29 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 15 283 0 27 Oct 2020
Deep Graph Matching and Searching for Semantic Code Retrieval Xiang Ling Lingfei Wu Sai-gang Wang Gaoning Pan Tengfei Ma Fangli Xu A. Liu Chunming Wu S. Ji GNN 31 91 0 24 Oct 2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks T. Dash A. Srinivasan L. Vig NAI 27 25 0 23 Oct 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 60 299 0 23 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 169 123 0 17 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Nhat Vu My T. Thai BDL 10 327 0 12 Oct 2020