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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Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 30 0 0 07 Sep 2024
An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX) Zhizhong Wu 24 6 0 05 Sep 2024
VLSI Hypergraph Partitioning with Deep Learning Muhammad Hadir Khan Bugra Onal Eren Dogan Matthew R. Guthaus GNN 18 0 0 02 Sep 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 32 1 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 30 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 33 2 0 21 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 21 0 0 20 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 32 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 46 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 53 0 0 06 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 27 3 0 31 Jul 2024
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Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 41 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 46 0 0 21 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 44 0 0 16 Jul 2024
GeoMix: Towards Geometry-Aware Data Augmentation Wen-Long Zhao Qitian Wu Chenxiao Yang Junchi Yan 32 2 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 28 16 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 50 2 0 03 Jul 2024
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SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model Lingyue Fu Hao Guan Kounianhua Du J. Lin Wei Xia Weinan Zhang Ruiming Tang Yasheng Wang Yong Yu AI4Ed KELM RALM 32 4 0 01 Jul 2024
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs Amitoz Azad Yuan Fang 37 1 0 01 Jul 2024
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NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 39 1 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 33 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 35 0 0 21 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Junfeng Fang Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 30 4 0 18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 40 1 0 17 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 24 1 0 17 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 30 2 0 16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 41 3 0 16 Jun 2024
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling Siwei Zhang Xi Chen Yun Xiong Xixi Wu Yao Zhang Yongrui Fu Yinglong Zhao Jiawei Zhang 24 8 0 14 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 34 2 0 14 Jun 2024
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis Zongyue Qin Yunsheng Bai Atefeh Sohrabizadeh Zijian Ding Ziniu Hu Yizhou Sun Jason Cong 28 1 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 32 16 0 13 Jun 2024
Motif-driven Subgraph Structure Learning for Graph Classification Zhiyao Zhou Sheng Zhou Bochao Mao Jiawei Chen Qingyun Sun Yan Feng Chun-Yen Chen Can Wang 43 1 0 13 Jun 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models Shichang Zhang Da Zheng Jiani Zhang Qi Zhu Xiang Song Soji Adeshina Christos Faloutsos George Karypis Yizhou Sun VLM 18 1 0 13 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 43 0 0 11 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Yurui Lai Xiaoyang Lin Renchi Yang Hongtao Wang 39 2 0 08 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification Simon Zhang Soham Mukherjee T. Dey 43 10 0 04 Jun 2024
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion Qinggang Zhang Keyu Duan Junnan Dong Pai Zheng Xiao Huang 33 3 0 03 Jun 2024