Learning Conjoint Attentions for Graph Neural Nets

5 February 2021

Papers citing "Learning Conjoint Attentions for Graph Neural Nets"

8 / 8 papers shown

Title
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction Ling Wang Minglian Han AI4CE 30 0 0 26 Apr 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 70 2 0 03 Jan 2025
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Qiqi Liu Qicheng Lao Han Yu FedML 29 3 0 25 Oct 2024
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators Beibei Wang Bo Jiang AI4CE 19 2 0 18 Feb 2022
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 918 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 279 1,944 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,929 0 17 Aug 2015