Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment

15 February 2023

Papers citing "Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment"

41 / 41 papers shown

Title
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection Wenxin Zhang Ding Xu Guangzhen Yao Xiaojian Lin Renxiang Guan Chengze Du Renda Han Xi Xuan Cuicui Luo AI4TS 88 0 0 02 May 2025
DyExplainer: Explainable Dynamic Graph Neural Networks Tianchun Wang Dongsheng Luo Wei Cheng Haifeng Chen Xiang Zhang 48 3 0 25 Oct 2023
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification Meng Liu K. Liang Dayu Hu Hao Yu Yue Liu Lingyuan Meng Wenxuan Tu Sihang Zhou Xinwang Liu 25 26 0 21 Sep 2023
CONVERT:Contrastive Graph Clustering with Reliable Augmentation Xihong Yang Cheng Tan Yue Liu K. Liang Siwei Wang Sihang Zhou Jun Xia Stan Z. Li Xinwang Liu En Zhu 43 38 0 17 Aug 2023
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning K. Liang Sihang Zhou Yue Liu Lingyuan Meng Meng Liu Xinwang Liu 72 15 0 06 Jul 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Tianyu Du Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 50 12 0 08 Jun 2023
Deep Temporal Graph Clustering Meng Liu Yue Liu K. Liang Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu 54 48 0 18 May 2023
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning Lingyuan Meng K. Liang Bin Xiao Sihang Zhou Yue Liu Meng Liu Xihong Yang Xinwang Liu 36 20 0 20 Apr 2023
Auto-weighted Multi-view Clustering for Large-scale Data Xinhang Wan Xinwang Liu Jiyuan Liu Siwei Wang Yi Wen Weixuan Liang En Zhu Zhe Liu Zhe Liu 66 51 0 21 Jan 2023
Cluster-guided Contrastive Graph Clustering Network Xihong Yang Yue Liu Sihang Zhou Siwei Wang Wenxuan Tu Qun Zheng Xinwang Liu Liming Fang En Zhu 63 94 0 03 Jan 2023
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal K. Liang Lingyuan Meng Meng Liu Yue Liu Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu Fu Sun LRM 58 114 0 12 Dec 2022
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure K. Liang Yue Liu Sihang Zhou Wenxuan Tu Yi Wen Xihong Yang Xiang Dong Xinwang Liu 58 78 0 19 Nov 2022
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph Liangchi Li Siwei Wang Xinwang Liu En Zhu Li Shen KenLi Li Keqin Li 84 46 0 05 Jul 2022
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 39 196 0 28 Oct 2021
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences Meng Liu Yong Liu AI4TS 110 37 0 01 Oct 2021
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs Mengjia Xu Apoorva Vikram Singh George Karniadakis AI4CE 57 9 0 28 Sep 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 34 86 0 17 Jun 2021
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems Sixiao Zhang Hongxu Chen Xiao Ming Li-zhen Cui Hongzhi Yin Guandong Xu 37 40 0 19 May 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 112 196 0 26 Feb 2021
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view Zhao Kang Zhiping Lin Xiaofeng Zhu Wenbo Xu 92 231 0 16 Feb 2021
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 113 546 0 09 Nov 2020
Graph Neural Network Encoding for Community Detection in Attribute Networks Jianyong Sun Wei Zheng Qingfu Zhang Zongben Xu 30 78 0 06 Jun 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 61 618 0 19 Feb 2020
Structural Deep Clustering Network Deyu Bo Xiao Wang C. Shi Meiqi Zhu Emiao Lu Peng Cui GNN 37 488 0 05 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 259 1,961 0 02 Feb 2020
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling Linmei Hu Chen Li C. Shi Cheng Yang Chao Shao GNN AI4TS 24 173 0 30 Oct 2019
Temporal Network Embedding with Micro- and Macro-dynamics Yuanfu Lu Tianlin Li C. Shi Philip S. Yu Yanfang Ye AI4TS AI4CE 48 118 0 10 Sep 2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks Srijan Kumar Xikun Zhang J. Leskovec AI4TS 28 724 0 03 Aug 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 96 2,946 0 20 May 2019
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 82 1,051 0 26 Feb 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 43 282 0 04 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 276 8,441 0 03 Jan 2019
Robust Graph Learning from Noisy Data Zhao Kang Haiqi Pan Guosheng Lin Zenglin Xu OOD NoLa 80 256 0 17 Dec 2018
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec J. Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang 46 916 0 09 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 222 2,178 0 22 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 337 15,066 0 07 Jun 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 86 3,541 0 21 Nov 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 132 10,800 0 03 Jul 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 519 149,474 0 22 Dec 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 197 9,735 0 26 Mar 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 244 33,445 0 16 Oct 2013