Never Skip a Batch: Continuous Training of Temporal GNNs via Adaptive Pseudo-Supervision

18 May 2025

Papers citing "Never Skip a Batch: Continuous Training of Temporal GNNs via Adaptive Pseudo-Supervision"

9 / 9 papers shown

Title
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking Zhiyi Ma Kawin Ethayarajh Tristan Thrush Somya Jain Ledell Yu Wu Robin Jia Christopher Potts Adina Williams Douwe Kiela ELM 67 57 0 21 May 2021
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks Yanbang Wang Yen-Yu Chang Yunyu Liu J. Leskovec Pan Li CML AI4TS 71 236 0 15 Jan 2021
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 38 32 0 02 Sep 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 120 641 0 18 Jun 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 123 1,065 0 21 Feb 2020
Unifying Graph Convolutional Neural Networks and Label Propagation Hongwei Wang J. Leskovec GNN 81 168 0 17 Feb 2020
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 259 2,380 0 11 Nov 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 101 826 0 08 Aug 2019
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 143 573 0 08 Dec 2012