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TransformerG2G: Adaptive time-stepping for learning temporal graph
  embeddings using transformers

TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers

5 July 2023
Alan John Varghese
Aniruddha Bora
Mengjia Xu
George Karniadakis
ArXivPDFHTML

Papers citing "TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers"

26 / 26 papers shown
Title
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
Ashish Parmanand Pandey
Alan John Varghese
Sarang Patil
Mengjia Xu
Mamba
232
0
0
15 Dec 2024
Everything is Connected: Graph Neural Networks
Everything is Connected: Graph Neural Networks
Petar Velickovic
GNN
AI4CE
54
184
0
19 Jan 2023
ROLAND: Graph Learning Framework for Dynamic Graphs
ROLAND: Graph Learning Framework for Dynamic Graphs
Jiaxuan You
Tianyu Du
J. Leskovec
AI4CE
60
172
0
15 Aug 2022
Towards Better Evaluation for Dynamic Link Prediction
Towards Better Evaluation for Dynamic Link Prediction
Farimah Poursafaei
Shenyang Huang
Kellin Pelrine
Reihaneh Rabbany
51
102
0
20 Jul 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and
  Link Prediction
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
90
53
0
02 Feb 2022
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal
  Graphs
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs
Mengjia Xu
Apoorva Vikram Singh
George Karniadakis
AI4CE
67
9
0
28 Sep 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by
  Partial Differential Equations
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof
E. Haber
Eran Treister
GNN
AI4CE
86
126
0
04 Aug 2021
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for
  Property Prediction
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
Xiaomin Fang
Lihang Liu
Jieqiong Lei
Donglong He
Shanzhuo Zhang
Jingbo Zhou
Fan Wang
Hua Wu
Haifeng Wang
AI4CE
58
448
0
11 Jun 2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction:
  Benchmark and Solution
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Fuxian Li
J. Feng
Huan Yan
G. Jin
Depeng Jin
Yong Li
GNN
AI4TS
44
374
0
30 Apr 2021
Dynamic Network Embedding Survey
Dynamic Network Embedding Survey
Guotong Xue
Ming Zhong
Jianxin Li
Jia Chen
C. Zhai
Ruochen Kong
AI4TS
41
166
0
29 Mar 2021
Temporal Knowledge Graph Forecasting with Neural ODE
Temporal Knowledge Graph Forecasting with Neural ODE
Zhen Han
Zifeng Ding
Yunpu Ma
Yujia Gu
Volker Tresp
AI4TS
AI4CE
52
118
0
13 Jan 2021
Understanding graph embedding methods and their applications
Understanding graph embedding methods and their applications
Mengjia Xu
40
133
0
15 Dec 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
165
643
0
18 Jun 2020
Learning continuous-time PDEs from sparse data with graph neural
  networks
Learning continuous-time PDEs from sparse data with graph neural networks
V. Iakovlev
Markus Heinonen
Harri Lähdesmäki
AI4CE
71
69
0
16 Jun 2020
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease
  Progression with MEG Brain Networks
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks
Mengjia Xu
David López Sanz
P. Garcés
F. Maestú
Quanzheng Li
D. Pantazis
28
39
0
08 May 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
87
623
0
19 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
298
1,989
0
02 Feb 2020
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
68
734
0
03 Aug 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
118
1,066
0
26 Feb 2019
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph
  Representation Learning
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Palash Goyal
Sujit Rokka Chhetri
A. Canedo
72
402
0
07 Sep 2018
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
83
644
0
12 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
186
10,863
0
03 Jul 2016
Net2Net: Accelerating Learning via Knowledge Transfer
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
159
668
0
18 Nov 2015
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
138
5,334
0
12 Mar 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
254
9,789
0
26 Mar 2014
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