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Inductive Representation Learning in Temporal Networks via Causal
  Anonymous Walks

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

15 January 2021
Yanbang Wang
Yen-Yu Chang
Yunyu Liu
J. Leskovec
Pan Li
    CML
    AI4TS
ArXivPDFHTML

Papers citing "Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks"

29 / 29 papers shown
Title
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
Xiang Wu
Miao Hu
Rong-Hua Li
Kangfei Zhao
Guoren Wang
AI4TS
AI4CE
75
0
0
27 Jan 2025
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
64
638
0
18 Jun 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
57
618
0
19 Feb 2020
Self-attention with Functional Time Representation Learning
Self-attention with Functional Time Representation Learning
Da Xu
Chuanwei Ruan
Sushant Kumar
Evren Körpeoglu
Kannan Achan
AI4TS
30
114
0
28 Nov 2019
Variational Graph Recurrent Neural Networks
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali
Arman Hasanzadeh
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDL
GNN
34
184
0
26 Aug 2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
17
724
0
03 Aug 2019
Time2Vec: Learning a Vector Representation of Time
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi
Rishab Goel
Sepehr Eghbali
J. Ramanan
Jaspreet Sahota
Sanjay Thakur
Stella Wu
Cathal Smyth
Pascal Poupart
Marcus A. Brubaker
AI4TS
33
332
0
11 Jul 2019
Higher-Order Ranking and Link Prediction: From Closing Triangles to
  Closing Higher-Order Motifs
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs
Ryan A. Rossi
Anup B. Rao
Sungchul Kim
Eunyee Koh
Nesreen Ahmed
Gang Wu
3DV
LRM
26
17
0
12 Jun 2019
Node Embedding over Temporal Graphs
Node Embedding over Temporal Graphs
Uriel Singer
Ido Guy
Kira Radinsky
26
151
0
21 Mar 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
67
1,051
0
26 Feb 2019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen
Jian Zhang
Xuanheng Xu
Chenbo Fu
Dan Zhang
Qingpeng Zhang
Qi Xuan
43
142
0
22 Feb 2019
Link Prediction via Higher-Order Motif Features
Link Prediction via Higher-Order Motif Features
Ghadeer Abuoda
G. D. F. Morales
Ashraf Aboulnaga
32
37
0
08 Feb 2019
dynnode2vec: Scalable Dynamic Network Embedding
dynnode2vec: Scalable Dynamic Network Embedding
Sedigheh Mahdavi
Shima Khoshraftar
Aijun An
21
114
0
06 Dec 2018
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
41
399
0
07 Sep 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
144
3,101
0
04 Jun 2018
Anonymous Walk Embeddings
Anonymous Walk Embeddings
Sergey Ivanov
Evgeny Burnaev
GNN
31
179
0
30 May 2018
Simplicial Closure and higher-order link prediction
Simplicial Closure and higher-order link prediction
Austin R. Benson
Rediet Abebe
Michael T. Schaub
Ali Jadbabaie
Jon M. Kleinberg
AI4CE
23
491
0
20 Feb 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
192
19,902
0
30 Oct 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
65
1,970
0
17 Sep 2017
Inhomogeneous Hypergraph Clustering with Applications
Inhomogeneous Hypergraph Clustering with Applications
Pan Li
O. Milenkovic
18
158
0
05 Sep 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
250
2,248
0
24 Jun 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
178
129,831
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
255
15,066
0
07 Jun 2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit S. Trivedi
H. Dai
Yichen Wang
Le Song
BDL
44
475
0
16 May 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
43
368
0
20 Apr 2017
Motifs in Temporal Networks
Motifs in Temporal Networks
Ashwin Paranjape
Austin R. Benson
J. Leskovec
13
685
0
29 Dec 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
68
3,541
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
282
28,795
0
09 Sep 2016
Nonparametric Link Prediction in Dynamic Networks
Nonparametric Link Prediction in Dynamic Networks
Purnamrita Sarkar
Deepayan Chakrabarti
Michael I. Jordan
38
136
0
27 Jun 2012
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