Pooling Architecture Search for Graph Classification

24 August 2021

Papers citing "Pooling Architecture Search for Graph Classification"

30 / 30 papers shown

Title
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization Qiyi Wang Yinning Shao Yunlong Ma Min Liu OOD 77 0 0 04 Mar 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 62 4 0 31 Dec 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 30 8 0 14 Jun 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 34 2 0 30 May 2024
Graph Sparsification via Mixture of Graphs Guibin Zhang Xiangguo Sun Yanwei Yue Kun Wang Tianlong Chen Shirui Pan 30 8 0 23 May 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 42 12 0 08 Mar 2024
Harnessing Large Language Models as Post-hoc Correctors Zhiqiang Zhong Kuangyu Zhou Davide Mottin 28 4 0 20 Feb 2024
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents Lanning Wei Zhiqiang He Huan Zhao Quanming Yao LLMAG 30 1 0 08 Sep 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 43 10 0 14 Aug 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling Chuang Liu Yibing Zhan Baosheng Yu Liu Liu Bo Du Wenbin Hu Tongliang Liu 28 11 0 22 Jun 2023
LibAUC: A Deep Learning Library for X-Risk Optimization Zhuoning Yuan Dixian Zhu Zimeng Qiu Gang Li Xuanhui Wang Tianbao Yang BDL 43 16 0 05 Jun 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 37 14 0 31 May 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 23 28 0 06 Apr 2023
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks Kaidi Cao Jiaxuan You Jiaju Liu J. Leskovec 59 4 0 14 Mar 2023
Kernel Regression with Infinite-Width Neural Networks on Millions of Examples Ben Adlam Jaehoon Lee Shreyas Padhy Zachary Nado Jasper Snoek 18 11 0 09 Mar 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 29 16 0 17 Feb 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio' GNN AI4CE 35 10 0 14 Jan 2023
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search Xu Wang Huan Zhao Lanning Wei Quanming Yao AI4CE GNN 15 3 0 13 Jul 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 24 26 0 18 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 43 0 0 31 May 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Jia Wu Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 30 80 0 15 Apr 2022
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020 Zhen Xu Lanning Wei Huan Zhao Rex Ying Quanming Yao Wei-Wei Tu Isabelle M Guyon AI4CE 20 0 0 06 Apr 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 41 2 0 04 Jan 2022
Graph Neural Networks for Double-Strand DNA Breaks Prediction X. U. Wang Huan Zhao Weiwei Tu Hao Li Yu Sun Xiaochen Bo 11 2 0 04 Jan 2022
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 29 42 0 29 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 20 39 0 02 Dec 2021
Distribution Knowledge Embedding for Graph Pooling Kaixuan Chen Jie Song Shunyu Liu Na Yu Zunlei Feng Gengshi Han Mingli Song GNN 30 22 0 29 Sep 2021
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,945 0 09 Jun 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016