ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.05705
  4. Cited By
EGAD: Evolving Graph Representation Learning with Self-Attention and
  Knowledge Distillation for Live Video Streaming Events

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events

11 November 2020
Stefanos Antaris
Dimitrios Rafailidis
Sarunas Girdzijauskas
ArXiv (abs)PDFHTML

Papers citing "EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events"

11 / 11 papers shown
Title
Towards Understanding Knowledge Distillation
Towards Understanding Knowledge Distillation
Mary Phuong
Christoph H. Lampert
65
321
0
27 May 2021
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention
  for Enterprise Distributed Video Streaming Solutions
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions
Stefanos Antaris
Dimitrios Rafailidis
AI4TS
16
5
0
11 Nov 2020
Dynamic Joint Variational Graph Autoencoders
Dynamic Joint Variational Graph Autoencoders
Sedigheh Mahdavi
Shima Khoshraftar
Aijun An
BDL
46
24
0
04 Oct 2019
Semi-Implicit Graph Variational Auto-Encoders
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
77
130
0
19 Aug 2019
Graph-based Knowledge Distillation by Multi-head Attention Network
Graph-based Knowledge Distillation by Multi-head Attention Network
Seunghyun Lee
B. Song
55
77
0
04 Jul 2019
Ranking Distillation: Learning Compact Ranking Models With High
  Performance for Recommender System
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Jiaxi Tang
Ke Wang
64
189
0
19 Sep 2018
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
148
775
0
22 Dec 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,876
0
03 Jul 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,524
0
23 Nov 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
257
9,789
0
26 Mar 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
163
2,119
0
21 Dec 2013
1