v1v2 (latest)

Representation Learning on Graphs with Jumping Knowledge Networks

9 June 2018

Ken-ichi Kawarabayashi

Stefanie Jegelka

GNN

ArXiv (abs)PDF HTML

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

50 / 933 papers shown

Title
ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering Zecheng Yin 61 0 0 13 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 119 14 0 13 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lio Yu Guang Wang 74 11 0 09 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 91 9 0 08 Nov 2023
Prioritized Propagation in Graph Neural Networks Yao Cheng Minjie Chen Xiang Li Caihua Shan Ming Gao AI4CE 83 0 0 06 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning Xiaojun Guo Yifei Wang Zeming Wei Yisen Wang 103 12 0 05 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song Ehsanul Kabir Shagufta Mehnaz 88 0 0 03 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 101 41 0 29 Oct 2023
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders Qianren Mao Shaobo Zhao Jiarui Li Xiaolei Gu Shizhu He Bo Li Jianxin Li SSL 52 2 0 29 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 84 10 0 20 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 89 4 0 20 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li John E. Hopcroft Kun He SLR 85 5 0 17 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 113 10 0 17 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 77 0 0 16 Oct 2023
Context-aware Session-based Recommendation with Graph Neural Networks Zhihui Zhang Jianxiang Yu Xiang Li 78 1 0 14 Oct 2023
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 130 5 0 11 Oct 2023
Tailoring Self-Attention for Graph via Rooted Subtrees Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 81 8 0 08 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 62 1 0 08 Oct 2023
On the Two Sides of Redundancy in Graph Neural Networks Vidya Sagar Sharma Samir Moustafa Johannes Langguth Wilfried N. Gansterer Nils M. Kriege 84 2 0 06 Oct 2023
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection Heehyeon Kim Jinhyeok Choi Joyce Jiyoung Whang GNN 59 7 0 06 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 150 15 0 03 Oct 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 84 3 0 03 Oct 2023
Locality-Aware Graph-Rewiring in GNNs Federico Barbero A. Velingker Amin Saberi Michael M. Bronstein Francesco Di Giovanni 104 33 0 02 Oct 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 192 80 0 02 Oct 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth Thomas Liebig 83 0 0 02 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 96 80 0 01 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Helen Zhou 109 0 0 29 Sep 2023
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu Jeehyun Hwang Keir Adams Zhen Liu B. Nan ... Olaf Wiest Olexandr Isayev Connor W. Coley Yizhou Sun Wei Wang 80 7 0 29 Sep 2023
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Zhengyuan Yang Levent Sagun Yizhou Sun 140 3 0 29 Sep 2023
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification Niful Islam Humaira Noor Md. Saddam Hossain Mukta Nur Shazwani Binti Kamarudin Mohaimenul Azam Khan Raiaan Sami Azam 57 9 0 28 Sep 2023
Weakly Supervised Semantic Segmentation by Knowledge Graph Inference Jia Zhang Bo Peng Xi Wu 84 3 0 25 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding Leyi Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 93 6 0 24 Sep 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin Babak Shahbaba 115 1 0 23 Sep 2023
Recurrent Temporal Revision Graph Networks Yizhou Chen Anxiang Zeng Guangda Huzhang Qingtao Yu Kerui Zhang Yuan Cao Kangle Wu Han Yu Zhiming Zhou 75 3 0 22 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs Khang Ly Yury Kashnitsky Savvas Chamezopoulos Valeria Krzhizhanovskaya 62 0 0 20 Sep 2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents Lanning Wei Zhiqiang He Huan Zhao Quanming Yao LLMAG 73 1 0 08 Sep 2023
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention Hao Zhang Haisheng Li Nan Li Xiaochuan Wang AI4CE 85 2 0 03 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu Wang Olivera Kotevska Philip S. Yu Hanyu Wang 109 13 0 31 Aug 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 79 0 0 30 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 76 8 0 22 Aug 2023
Graph Neural Bandits Yunzhe Qi Yikun Ban Jingrui He 73 21 0 21 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism Jingji Chen Zhuoming Chen Xuehai Qian GNN AI4CE 87 3 0 19 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Yuxuan Liang Yang Wang 68 9 0 19 Aug 2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning Tianmeng Yang Min Zhou Yujing Wang Zhe-Min Lin Lujia Pan Tengjiao Wang Yu Tong AAML 71 3 0 17 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 164 170 0 14 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 118 10 0 14 Aug 2023
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes Quang Truong Peter Chin GNN 92 9 0 13 Aug 2023
SAILOR: Structural Augmentation Based Tail Node Representation Learning Jie Liao Jintang Li Liang Chen Bing Wu Yatao Bian Zibin Zheng 65 4 0 13 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 124 15 0 01 Aug 2023
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber Julian Busch Daniel Rotthues Christian M. m. Frey Thomas Seidl DiffM 92 1 0 31 Jul 2023