Path Integral Based Convolution and Pooling for Graph Neural Networks

Path Integral Based Convolution and Pooling for Graph Neural Networks

29 June 2020

Papers citing "Path Integral Based Convolution and Pooling for Graph Neural Networks"

10 / 10 papers shown

Title
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang Yadi Cao Chris Russell Yanxin Shen Junyu Luo Ming Zhang Siyu Heng Xiao Luo 38 1 0 13 Sep 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 36 0 0 26 Jul 2024
Path Integral Based Convolution and Pooling for Heterogeneous Graph Neural Networks Lingjie Kong Yun Liao GNN 11 1 0 26 Feb 2023
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks Ryien Hosseini F. Simini Austin R. Clyde A. Ramanathan 13 5 0 04 Nov 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 19 44 0 02 Jun 2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing Nan Wu Hang Yang Yuan Xie Pan Li Cong Hao 15 51 0 18 Jan 2022
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 13 80 0 03 Jul 2021
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 27 35 0 12 Dec 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016