Variational Graph Auto-Encoders

21 November 2016

Papers citing "Variational Graph Auto-Encoders"

50 / 560 papers shown

Title
Neural Graph Collaborative Filtering Using Variational Inference Narges Sadat Fazeli Dehkordi Hadi Zare P. Moradi Mahdi Jalili 11 0 0 20 Nov 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 24 5 0 10 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 26 8 0 07 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 44 14 0 02 Nov 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 44 7 0 20 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 33 0 0 16 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples Yueqi Ma Minjie Chen Xiang Li SSL 28 1 0 15 Oct 2023
Graph Neural Network approaches for single-cell data: A recent overview Konstantinos Lazaros Dimitrios E Koumadorakis Vlamos Aristidis G. Vrahatis AI4CE 35 7 0 14 Oct 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang Jia Li Yang Liu Jiashun Cheng Yu Rong Wenjia Wang Fugee Tsung NoLa 32 9 0 02 Oct 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network Akihiro Kishimoto Hiroshi Kajino Masataka Hirose Junta Fuchiwaki Indra Priyadarsini Lisa Hamada Hajime Shinohara D. Nakano Seiji Takeda AI4CE 39 4 0 28 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 62 13 0 25 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 31 5 0 24 Sep 2023
Unsupervised Learning via Network-Aware Embeddings Anne Sophie Riis Damstrup Sofie Tosti Madsen Michele Coscia SSL 43 0 0 19 Sep 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training Eric Inae Gang Liu Meng Jiang AI4CE 48 14 0 08 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 30 2 0 31 Aug 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 31 10 0 31 Aug 2023
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation Shuang Wang B. Eravcı Rustam Guliyev Hakan Ferhatosmanoglu GNN MQ 29 6 0 29 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 50 25 0 18 Aug 2023
Crystal Structure Prediction by Joint Equivariant Diffusion Rui Jiao Wen-bing Huang Peijia Lin Jiaqi Han Pin Chen Yutong Lu Yang Liu DiffM 32 61 0 30 Jul 2023
Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks Logan Nye AI4CE 32 5 0 08 Jul 2023
Graph Contrastive Topic Model Zheheng Luo Lei Liu Qianqian Xie Sophia Ananiadou 21 2 0 05 Jul 2023
A Survey on Graph Classification and Link Prediction based on GNN Xingyu Liu Juan Chen Q. Wen GNN 29 11 0 03 Jul 2023
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI Qianqian Wang Wei Wang Yuqi Fang P. Yap Hongtu Zhu Hong-jun Li Lishan Qiao Mingxia Liu 22 7 0 24 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 36 23 0 16 Jun 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices Jing Zhu Yuhang Zhou V. Ioannidis Sheng Qian Wei Ai Xiang Song Danai Koutra 33 10 0 01 Jun 2023
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 43 1 0 31 May 2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting Dan Yang Binbin Hu Xiaoyan Yang Yue Shen Qing Cui Jinjie Gu Guannan Zhang 32 4 0 30 May 2023
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
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 44 28 0 26 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um Jiwoong Park Seulki Park Jin Young Choi DiffM 27 15 0 26 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 48 23 0 23 May 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 23 1 0 21 May 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN Shiyu Liu Linsen Wei Shaogao Lv Ming Li MLT 25 0 0 20 May 2023
Domain Generalization Deep Graph Transformation Shiyu Wang Guangji Bai Qi Zhu Zhaohui Qin Liang Zhao OOD 54 1 0 19 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity Karandeep Singh Yu-Che Tsai Cheng-Te Li Meeyoung Cha Shou-de Lin 27 7 0 19 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Yunsheng Bai Atefeh Sohrabizadeh Zongyue Qin Ziniu Hu Yizhou Sun Jason Cong 26 1 0 18 May 2023
Deep Temporal Graph Clustering Meng Liu Yue Liu K. Liang Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu 37 48 0 18 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 32 4 0 17 May 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 44 13 0 16 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 42 4 0 12 May 2023
Contrastive Graph Clustering in Curvature Spaces Li Sun Feiyang Wang Junda Ye Hao Peng Philip S. Yu 37 17 0 05 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 33 3 0 04 May 2023
Pay More Attention to Relation Exploration for Knowledge Base Question Answering Yong Cao Yuetian Luo Xudong Li Wen Dai Shuai Chen Anru R. Zhang Min Chen Daniel Hershcovich 23 7 0 03 May 2023
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features Saurabh Sihag Fangchang Ma Corey McMillan Angela Dai 43 3 0 02 May 2023
Computing Expected Motif Counts for Exchangeable Graph Generative Models Oliver Schulte 29 0 0 01 May 2023
A Simplified Framework for Contrastive Learning for Node Representations Ilgee Hong Huy Tran Claire Donnat SSL 19 1 0 01 May 2023
Unstructured and structured data: Can we have the best of both worlds with large language models? W. Tan 29 1 0 25 Apr 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning Gehang Zhang Yu Bowen Jiangxia Cao Xinghua Zhang Shuaiyi Nie Chuan Zhou Tingwen Liu 48 0 0 20 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 30 6 0 15 Apr 2023