Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

6 December 2021

Jian Liang

Shuang Li

Papers citing "Incentive Compatible Pareto Alignment for Multi-Source Large Graphs"

21 / 21 papers shown

Title
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization T. Deist Monika Grewal F. Dankers Tanja Alderliesten Peter A. N. Bosman 70 19 0 08 Feb 2021
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 121 75 0 13 Oct 2020
Learning the Pareto Front with Hypernetworks Aviv Navon Aviv Shamsian Gal Chechik Ethan Fetaya 117 146 0 08 Oct 2020
Boosting Share Routing for Multi-task Learning Xiaokai Chen Xiaoguang Gu Libo Fu MoE 16 10 0 01 Sep 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 134 295 0 17 Jun 2020
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction Hongxu Chen Hongzhi Yin Xiangguo Sun Tong Chen Bogdan Gabrys Katarzyna Musial 61 139 0 02 Jun 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 90 352 0 30 Dec 2019
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network Kun Xu Liwei Wang Mo Yu Yansong Feng Yan Song Zhiguo Wang Dong Yu 105 238 0 28 May 2019
Sliced Gromov-Wasserstein Titouan Vayer Rémi Flamary Romain Tavenard Laetitia Chapel Nicolas Courty OT 71 100 0 24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 64 197 0 18 May 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 805 8,597 0 03 Jan 2019
Characterizing and Avoiding Negative Transfer Zirui Wang Zihang Dai Barnabás Póczós J. Carbonell 97 419 0 24 Nov 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 130 2,399 0 27 Sep 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 272 3,555 0 06 Jun 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 115 1,945 0 27 Feb 2018
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 102 1,430 0 10 Oct 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 607 2,247 0 25 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,369 0 07 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,961 0 09 Mar 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 196 10,924 0 03 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 435 18,361 0 27 May 2016