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EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

26 February 2019
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
    GNN
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Papers citing "EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs"

50 / 360 papers shown
Title
Modeling Multivariate Biosignals With Graph Neural Networks and
  Structured State Space Models
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
Siyi Tang
Jared A. Dunnmon
Liangqiong Qu
Khaled Kamal Saab
T. Baykaner
Christopher Lee-Messer
D. Rubin
22
21
0
21 Nov 2022
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics
Ancheng Lin
Jun Yu Li
Yusheng Xiang
Wei Bian
Mukesh Prasad
3DPC
ViT
43
2
0
19 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
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain
  Security to Brain Disease Prediction
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
Ali Behrouz
Margo Seltzer
22
19
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
MGTCOM: Community Detection in Multimodal Graphs
MGTCOM: Community Detection in Multimodal Graphs
E. Dmitriev
M. Chekol
S. Wang
25
0
0
10 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative
  Filtering
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering
Seoyoung Hong
Minju Jo
Seung-Uk Kook
Jaeeun Jung
Hyowon Wi
Noseong Park
Sung-Bae Cho
AI4TS
19
6
0
08 Nov 2022
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
Jong-whi Lee
Jinhong Jung
21
11
0
02 Nov 2022
DyG2Vec: Efficient Representation Learning for Dynamic Graphs
DyG2Vec: Efficient Representation Learning for Dynamic Graphs
Mohammad Ali Alomrani
Mahdi Biparva
Yingxue Zhang
Mark J. Coates
AI4TS
36
3
0
30 Oct 2022
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster Structure
Shan-Shan Zhang
Zhan Bu
11
2
0
23 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
27
30
0
21 Oct 2022
Modelling Multi-relations for Convolutional-based Knowledge Graph
  Embedding
Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding
Sirui Li
Kok Wai Wong
Dengya Zhu
C. Fung
GNN
17
1
0
21 Oct 2022
DyTed: Disentangled Representation Learning for Discrete-time Dynamic
  Graph
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph
Kaike Zhang
Qi Cao
Gaolin Fang
Bingbing Xu
Hongjian Zou
Huawei Shen
Xueqi Cheng
16
19
0
19 Oct 2022
Towards Real-Time Temporal Graph Learning
Towards Real-Time Temporal Graph Learning
Deniz Gurevin
Mohsin Shan
Tong Geng
Weiwen Jiang
Caiwen Ding
O. Khan
AI4TS
AI4CE
37
0
0
08 Oct 2022
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and
  GPU
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU
Han-Chen Chen
Yahya Alhinai
Yihan Jiang
Eunjee Na
Cong Hao
GNN
AI4CE
22
5
0
08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
60
0
07 Oct 2022
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Sudhanshu Chanpuriya
Ryan A. Rossi
Sungchul Kim
Tong Yu
Jane Hoffswell
Nedim Lipka
Shunan Guo
Cameron Musco
AI4TS
81
10
0
30 Sep 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
35
4
0
27 Sep 2022
Pose-Aided Video-based Person Re-Identification via Recurrent Graph
  Convolutional Network
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network
Honghu Pan
Qiao Liu
Yongyong Chen
Yunqing He
Yuan Zheng
Feng Zheng
Zhenyu He
CVBM
32
14
0
23 Sep 2022
Neighborhood-aware Scalable Temporal Network Representation Learning
Neighborhood-aware Scalable Temporal Network Representation Learning
Yu Luo
Pan Li
GNN
AI4TS
29
47
0
02 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
A Self-supervised Riemannian GNN with Time Varying Curvature for
  Temporal Graph Learning
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning
Li Sun
Junda Ye
Hao Peng
Philip S. Yu
26
26
0
30 Aug 2022
A Survey on Temporal Graph Representation Learning and Generative
  Modeling
A Survey on Temporal Graph Representation Learning and Generative Modeling
Shubham Gupta
Srikanta J. Bedathur
AI4TS
AI4CE
24
6
0
25 Aug 2022
ROLAND: Graph Learning Framework for Dynamic Graphs
ROLAND: Graph Learning Framework for Dynamic Graphs
Jiaxuan You
Tianyu Du
J. Leskovec
AI4CE
13
163
0
15 Aug 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
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Jiaxuan Xie
Yezi Liu
Yanning Shen
FAtt
9
12
0
22 Jul 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
29
13
0
22 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical
  Analysis
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis
Mohammad Sabbaqi
Elvin Isufi
GNN
AI4TS
40
14
0
30 Jun 2022
Continuous-Time and Multi-Level Graph Representation Learning for
  Origin-Destination Demand Prediction
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction
Liangzhe Han
Xiaojian Ma
Leilei Sun
Bowen Du
Yanjie Fu
Weifeng Lv
Hui Xiong
AI4TS
29
26
0
30 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain
  Generalization
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
Junchi Yu
Jian Liang
Ran He
OOD
23
11
0
19 Jun 2022
Temporal Inductive Logic Reasoning over Hypergraphs
Temporal Inductive Logic Reasoning over Hypergraphs
Yuan Yang
Siheng Xiong
Ali Payani
J. C. Kerce
Faramarz Fekri
AI4CE
14
5
0
09 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs
Instant Graph Neural Networks for Dynamic Graphs
Yanping Zheng
Hanzhi Wang
Zhewei Wei
Jiajun Liu
Sibo Wang
GNN
27
20
0
03 Jun 2022
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction
Truong Son-Hy
V. Nguyen
Long Tran-Thanh
Risi Kondor
AI4TS
AI4CE
23
10
0
30 May 2022
Diversity Preference-Aware Link Recommendation for Online Social
  Networks
Diversity Preference-Aware Link Recommendation for Online Social Networks
Kexin Yin
Xiao Fang
Bi-Yi Chen
O. R. Sheng
6
10
0
21 May 2022
DELATOR: Money Laundering Detection via Multi-Task Learning on Large
  Transaction Graphs
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs
Henrique S. Assumpção
Fabrício Souza
Leandro Lacerda Campos
Vinícius T. de Castro Pires
Paulo M. Laurentys de Almeida
Fabricio Murai
36
2
0
20 May 2022
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networks
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINN
AI4CE
69
40
0
16 May 2022
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online
  Video Services
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services
Fan Zhang
Qiuying Peng
Yu-Liang Wu
Zheng Pan
Rong Zeng
David Lin
Ye Qi
21
6
0
05 May 2022
Reinforced Structured State-Evolution for Vision-Language Navigation
Reinforced Structured State-Evolution for Vision-Language Navigation
Jinyu Chen
Chen Gao
Erli Meng
Qiong Zhang
Si Liu
LM&Ro
19
41
0
20 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
26
29
0
06 Apr 2022
CGC: Contrastive Graph Clustering for Community Detection and Tracking
CGC: Contrastive Graph Clustering for Community Detection and Tracking
Namyong Park
Ryan A. Rossi
Eunyee Koh
I. Burhanuddin
Sungchul Kim
F. Du
Nesreen Ahmed
Christos Faloutsos
19
36
0
05 Apr 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNN
AI4TS
27
108
0
04 Apr 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
36
86
0
28 Mar 2022
Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions
Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions
Konstantinos Kogkalidis
M. Moortgat
21
9
0
23 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
Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering
  Detection in Bitcoin
Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin
Wai Weng Lo
Gayan K. Kulatilleke
Mohanad Sarhan
S. Layeghy
Marius Portmann
22
36
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
24
23
0
10 Mar 2022
Time-aware Graph Neural Networks for Entity Alignment between Temporal
  Knowledge Graphs
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs
Chengjin Xu
Fenglong Su
Jens Lehmann
AI4TS
22
49
0
04 Mar 2022
Understanding microbiome dynamics via interpretable graph representation
  learning
Understanding microbiome dynamics via interpretable graph representation learning
K. Melnyk
Kuba Weimann
Tim Conrad
19
5
0
02 Mar 2022
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A Survey
Haoyang Li
Xin Wang
Ziwei Zhang
Wenwu Zhu
OOD
CML
24
96
0
16 Feb 2022
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