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Inductive Representation Learning on Temporal Graphs

Inductive Representation Learning on Temporal Graphs

19 February 2020
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
    AI4CE
ArXivPDFHTML

Papers citing "Inductive Representation Learning on Temporal Graphs"

50 / 110 papers shown
Title
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for
  Graph Streams
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
43
5
0
05 Dec 2023
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on
  Dynamic Graphs
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs
Yuchen Zhong
Guangming Sheng
Tianzuo Qin
Minjie Wang
Quan Gan
Chuan Wu
AI4CE
GNN
29
6
0
29 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation
  Contrastive
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive
Hongjiang Chen
Pengfei Jiao
Huijun Tang
Huaming Wu
26
8
0
07 Nov 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal
  Interaction Graph Embedding
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding
Xiangshan Chen
Yongxiang Liao
Yun Xiong
Yao Zhang
Si-Yuan Zhang
Jiawei Zhang
Yiheng Sun
23
6
0
27 Aug 2023
From random-walks to graph-sprints: a low-latency node embedding
  framework on continuous-time dynamic graphs
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
Ahmad Naser Eddin
Jacopo Bono
David Oliveira Aparício
Hugo Ferreira
João Tiago Ascensão
Pedro Ribeiro
P. Bizarro
35
2
0
17 Jul 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
Hongkuan Zhou
Da Zheng
Xiang Song
George Karypis
Viktor Prasanna
GNN
26
13
0
14 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural
  Networks
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
Yuan-Qi Bei
Haonan Xu
Sheng Zhou
Huixuan Chi
Haishuai Wang
Mengdi Zhang
Zhao Li
Jiajun Bu
44
6
0
06 Jul 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph
  embeddings using transformers
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Alan John Varghese
Aniruddha Bora
Mengjia Xu
George Karniadakis
36
5
0
05 Jul 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with
  Dynamicity Support
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang
Zheng Yan
Jiahe Lan
Elisa Bertino
Witold Pedrycz
22
11
0
23 Jun 2023
Networked Time Series Imputation via Position-aware Graph Enhanced
  Variational Autoencoders
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
Dingsu Wang
Yuchen Yan
Ruizhong Qiu
Yada Zhu
Kaiyu Guan
A. Margenot
Hanghang Tong
AI4TS
43
28
0
29 May 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
Sheng Tian
Jihai Dong
Jintang Li
Wenlong Zhao
Xiaolong Xu
Baokun Wang
Bowen Song
Changhua Meng
Tianyi Zhang
Liang Chen
41
30
0
23 May 2023
Deep Temporal Graph Clustering
Deep Temporal Graph Clustering
Meng Liu
Yue Liu
K. Liang
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
35
47
0
18 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic
  Graphs
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Jintang Li
Sheng Tian
Ruofan Wu
Liang Zhu
Welong Zhao
Changhua Meng
Liang Chen
Zibin Zheng
Hongzhi Yin
37
10
0
18 May 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
Haohui Wang
Yuzhen Mao
Yujun Yan
Yaoqing Yang
Jianhui Sun
...
Si Zhang
Alison Hu
Edward Bowen
Tyler Cody
Dawei Zhou
44
2
0
01 May 2023
Bi-Level Attention Graph Neural Networks
Bi-Level Attention Graph Neural Networks
Roshni G. Iyer
Wen Wang
Yizhou Sun
GNN
23
17
0
23 Apr 2023
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph
  Neural Network Inference
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference
Han-Chen Chen
Cong Hao
GNN
AI4CE
36
9
0
13 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
39
14
0
12 Apr 2023
Towards Open Temporal Graph Neural Networks
Towards Open Temporal Graph Neural Networks
Kaituo Feng
Changsheng Li
Xiaolu Zhang
Jun Zhou
AI4CE
22
15
0
27 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu
Leilei Sun
Bowen Du
Weifeng Lv
AI4CE
29
96
0
23 Mar 2023
Depression Detection Using Digital Traces on Social Media: A
  Knowledge-aware Deep Learning Approach
Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach
Wenli Zhang
Jiaheng Xie
Zhuocheng Zhang
Xiang Liu
24
9
0
06 Mar 2023
Do We Really Need Complicated Model Architectures For Temporal Networks?
Do We Really Need Complicated Model Architectures For Temporal Networks?
Weilin Cong
Si Zhang
Jian Kang
Baichuan Yuan
Hao Wu
Xin Zhou
Hanghang Tong
Mehrdad Mahdavi
GNN
AI4TS
31
113
0
22 Feb 2023
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation
  Learning Method
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method
Xing Tang
Ling-Hao Chen
AI4TS
16
4
0
22 Feb 2023
TIGER: Temporal Interaction Graph Embedding with Restarts
TIGER: Temporal Interaction Graph Embedding with Restarts
Yao Zhang
Yun Xiong
Yongxiang Liao
Yiheng Sun
Yucheng Jin
Xuehao Zheng
Yangyong Zhu
22
24
0
13 Feb 2023
Interaction Order Prediction for Temporal Graphs
Interaction Order Prediction for Temporal Graphs
N. Bannur
Mashrin Srivastava
Harsha Vardhan
29
0
0
04 Feb 2023
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs
Osman Ulger
Julian Wiederer
Mohsen Ghafoorian
Vasileios Belagiannis
Pascal Mettes
40
0
0
06 Dec 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
36
7
0
26 Nov 2022
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and
  Sparse Graphs
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
Linhao Luo
Reza Haffari
Shirui Pan
AI4TS
28
30
0
15 Nov 2022
Significant Ties Graph Neural Networks for Continuous-Time Temporal
  Networks Modeling
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling
Jiayun Wu
Tao Jia
Yansong Wang
Li Tao
6
2
0
12 Nov 2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Jiaheng Xie
Xiaohang Zhao
Xiang Liu
Xiao Fang
OOD
36
2
0
08 Nov 2022
Fraudulent User Detection Via Behavior Information Aggregation Network
  (BIAN) On Large-Scale Financial Social Network
Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network
Hanyi Hu
Long Zhang
Shuang Li
Zhi Liu
Yao Yang
Chongning Na
21
0
0
04 Nov 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal
  Knowledge Graphs
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
Ruijie Wang
Zheng Li
Dachun Sun
Shengzhong Liu
Jinning Li
Bing Yin
Tarek F. Abdelzaher
OffRL
21
41
0
16 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of
  Graph Neural Networks for Attributed and Dynamic Graphs
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Silvia Beddar-Wiesing
Giuseppe Alessio D’Inverno
C. Graziani
Veronica Lachi
Alice Moallemy-Oureh
F. Scarselli
J. M. Thomas
31
9
0
08 Oct 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal
  Propagation
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation
Zehong Wang
Qi Li
Donghua Yu
27
3
0
03 Oct 2022
Provably expressive temporal graph networks
Provably expressive temporal graph networks
Amauri Souza
Diego Mesquita
Samuel Kaski
Vikas K. Garg
89
54
0
29 Sep 2022
Reasoning over Multi-view Knowledge Graphs
Reasoning over Multi-view Knowledge Graphs
Zhaohan Xi
Ren Pang
Changjiang Li
Tianyu Du
S. Ji
Fenglong Ma
Ting Wang
38
4
0
27 Sep 2022
Representing Social Networks as Dynamic Heterogeneous Graphs
Representing Social Networks as Dynamic Heterogeneous Graphs
Negar Maleki
Balaji Padmanabhan
K. Dutta
16
2
0
02 Sep 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural
  Networks
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Sheng Tian
Ruofan Wu
Changhua Meng
GNN
21
31
0
15 Aug 2022
Pre-training General Trajectory Embeddings with Maximum Multi-view
  Entropy Coding
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding
Yan Lin
Huaiyu Wan
S. Guo
Jilin Hu
Christian S. Jensen
Youfang Lin
AI4TS
32
19
0
29 Jul 2022
Representation Learning in Continuous-Time Dynamic Signed Networks
Representation Learning in Continuous-Time Dynamic Signed Networks
Kartik Sharma
Mohit Raghavendra
Y. Lee
M. Anandkumar
Srijan Kumar
34
8
0
07 Jul 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
Xuanwen Huang
Yang Yang
Yang Wang
Chunping Wang
Zhisheng Zhang
Jiarong Xu
Lei Chen
Michalis Vazirgiannis
14
82
0
30 Jun 2022
InducT-GCN: Inductive Graph Convolutional Networks for Text
  Classification
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification
Kunze Wang
S. Han
Josiah Poon
GNN
24
37
0
01 Jun 2022
TGL: A General Framework for Temporal GNN Training on Billion-Scale
  Graphs
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
Hongkuan Zhou
Da Zheng
Israt Nisa
Vasileios Ioannidis
Xiang Song
George Karypis
AI4CE
39
86
0
28 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
AI4TS
AI4CE
21
20
0
20 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference
  on FPGA
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
Hongkuan Zhou
Bingyi Zhang
R. Kannan
Viktor Prasanna
Carl E. Busart
GNN
26
23
0
10 Mar 2022
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning
  over Temporal Knowledge Graphs
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
Namyong Park
Fuchen Liu
Purvanshi Mehta
D. Cristofor
Christos Faloutsos
Yuxiao Dong
21
86
0
15 Feb 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time
  Series
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
38
3
0
04 Feb 2022
Efficient Dynamic Graph Representation Learning at Scale
Efficient Dynamic Graph Representation Learning at Scale
Xinshi Chen
Yan Zhu
Haowen Xu
Mengya Liu
Liang Xiong
Muhan Zhang
Le Song
14
7
0
14 Dec 2021
Spectral Transform Forms Scalable Transformer
Spectral Transform Forms Scalable Transformer
Bingxin Zhou
Xinliang Liu
Yuehua Liu
Yunyin Huang
Pietro Lió
Yuguang Wang
52
6
0
15 Nov 2021
Inductive Representation Learning in Temporal Networks via Mining
  Neighborhood and Community Influences
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences
Meng Liu
Yong Liu
AI4TS
85
37
0
01 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
42
22
0
20 Sep 2021
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