Accurate Learning of Graph Representations with Graph Multiset Pooling

23 February 2021

Papers citing "Accurate Learning of Graph Representations with Graph Multiset Pooling"

24 / 24 papers shown

Title
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 97 0 0 22 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Yongjun Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 153 0 0 03 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 30 0 0 03 Jan 2025
Degree-Conscious Spiking Graph for Cross-Domain Adaptation Yingxu Wang Mengzhu Wang Siwei Liu Houcheng Su Nan Yin James Kwok 34 3 0 09 Oct 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 45 0 0 26 Jul 2024
Clustering for Protein Representation Learning Ruijie Quan Wenguan Wang Fan Ma Hehe Fan Yi Yang 29 5 0 30 Mar 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 37 3 0 02 Nov 2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning Gaichao Li Jinsong Chen J. Hopcroft Kun He 24 0 0 31 Oct 2023
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 45 3 0 15 Jun 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 34 6 0 25 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 33 4 0 12 May 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems Fang Wu Huiling Qin Siyuan Li Stan Z. Li Xianyuan Zhan Jinbo Xu 24 5 0 08 Apr 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks Yanshen Sun Kaiqun Fu Chang-Tien Lu AI4TS AI4CE 32 2 0 21 Mar 2023
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 16 72 0 26 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 29 62 0 15 Jun 2022
Semi-Supervised Hierarchical Graph Classification Jia Li Yongfeng Huang Heng Chang Yu Rong 31 27 0 11 Jun 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 72 25 0 24 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 25 1 0 26 Apr 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 22 210 0 05 Feb 2022
Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel-Gabrielsson Mikhail Yurochkin Justin Solomon AI4CE 25 32 0 29 Jan 2022
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 41 128 0 24 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 28 433 0 09 Jun 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018