Learnable Graph Convolutional Attention Networks

21 November 2022

Papers citing "Learnable Graph Convolutional Attention Networks"

10 / 10 papers shown

Title
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal K. Fountoulakis Aukosh Jagannath 81 11 0 10 Jan 2025
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 31 9 0 13 Jul 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise Zhonghao Wang Danyu Sun Sheng Zhou Haobo Wang Jiapei Fan Longtao Huang Jiajun Bu NoLa 25 0 0 06 Jun 2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification Pablo Sánchez-Martín Kinaan Aamir Khan Isabel Valera 29 3 0 18 Apr 2024
Understanding Heterophily for Graph Neural Networks Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 28 10 0 17 Jan 2024
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 Xia Hu 44 0 0 29 Sep 2023
Optimal Inference in Contextual Stochastic Block Models O. Duranthon L. Zdeborová BDL 40 8 0 06 Jun 2023
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,169 0 03 Mar 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 836 0 28 Sep 2019
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 103 152 0 23 Jul 2018