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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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Title
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs Yachao Yang Yanfeng Sun Jipeng Guo Junbin Gao Shaofan Wang Fujiao Ju Baocai Yin 117 0 0 18 Nov 2024
Partitioning Message Passing for Graph Fraud Detection Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 193 18 0 16 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos 168 0 0 31 Oct 2024
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot Sejin Lee Dongha Kim Min Song 128 0 0 30 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 59 0 0 21 Oct 2024
Deep Equilibrium Algorithmic Reasoning Dobrik Georgiev JJ Wilson Davide Buffelli Pietro Lio 87 1 0 19 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 65 0 0 18 Oct 2024
Partially Trained Graph Convolutional Networks Resist Oversmoothing Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos SSL 64 0 0 17 Oct 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Miao Hu Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 108 1 0 14 Oct 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training Fangxin Wang Kay Liu Sourav Medya Philip S. Yu SSL 81 3 0 12 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 178 0 0 11 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective Xueying Bai Yifan Sun Niranjan Balasubramanian CLL 68 0 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 83 2 0 07 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 259 6 0 04 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 90 0 0 02 Oct 2024
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling K. Mancini I. Rekik 82 1 0 29 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 74 4 0 17 Sep 2024
Predicting building types and functions at transnational scale Jonas Fill Michael Eichelbeck Michael Ebner 61 0 0 15 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption Samuel Rey Madeline Navarro Victor M. Tenorio Santiago Segarra Antonio G. Marques 80 4 0 13 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing Qitian Wu David Wipf Junchi Yan DiffM 127 1 0 13 Sep 2024
Heterogeneous Sheaf Neural Networks Luke Braithwaite Iulia Duta Pietro Liò 83 3 0 12 Sep 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoglu GNN 82 1 0 10 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 86 0 0 07 Sep 2024
An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX) Zhizhong Wu 45 6 0 05 Sep 2024
VLSI Hypergraph Partitioning with Deep Learning Muhammad Hadir Khan Bugra Onal Eren Dogan Matthew R. Guthaus GNN 70 0 0 02 Sep 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 147 3 0 26 Aug 2024
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning Sagar Srinivas Sakhinana Krishna Sai Sudhir Aripirala Shivam Gupta Venkataramana Runkana BDL AI4TS AI4CE 114 0 0 22 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes Sakhinana Sagar Srinivas Rajat Kumar Sarkar Sreeja Gangasani Venkataramana Runkana 105 2 0 21 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 50 0 0 20 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 124 0 0 17 Aug 2024
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models Jialiang Wang Shimin Di Hanmo Liu Zhili Wang Jiachuan Wang Lei Chen Xiaofang Zhou 83 0 0 13 Aug 2024
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 85 0 0 09 Aug 2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing Furong Peng Kang Liu Xuan Lu Yuhua Qian HongRen Yan Chao Ma 107 0 0 06 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 83 5 0 31 Jul 2024
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 122 2 0 28 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 115 0 0 27 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 129 0 0 21 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 81 1 0 16 Jul 2024
GeoMix: Towards Geometry-Aware Data Augmentation Wen-Long Zhao Qitian Wu Chenxiao Yang Junchi Yan 142 4 0 15 Jul 2024
Multimodal contrastive learning for spatial gene expression prediction using histology images Wenwen Min Zhiceng Shi Jun Zhang Jun Wan Changmiao Wang 81 18 0 11 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 156 2 0 03 Jul 2024
GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs Bugra Onal Eren Dogan Muhammad Hadir Khan Matthew R. Guthaus 96 0 0 01 Jul 2024
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model Lingyue Fu Hao Guan Kounianhua Du Jianghao Lin Wei Xia Weinan Zhang Ruiming Tang Yasheng Wang Yong Yu AI4Ed KELM RALM 81 9 0 01 Jul 2024
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs Amitoz Azad Yuan Fang 97 1 0 01 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 105 2 0 30 Jun 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 181 1 0 30 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 108 2 0 27 Jun 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 95 11 0 27 Jun 2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 95 0 0 21 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Sihang Li Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 94 7 0 18 Jun 2024