DeepInf: Social Influence Prediction with Deep Learning

15 July 2018

J. Qiu

Jian Tang

Hao Ma

Yuxiao Dong

Papers citing "DeepInf: Social Influence Prediction with Deep Learning"

50 / 70 papers shown

Title
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 64 1 0 23 Jan 2025
Traits of a Leader: User Influence Level Prediction through Sociolinguistic Modeling Denys Katerenchuk Rivka Levitan TDI 67 0 0 05 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 87 2 0 03 Jan 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 62 2 0 25 Oct 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems Ziqiang Cui Yunpeng Weng Xing Tang Fuyuan Lyu Dugang Liu Xiuqiang He Chen Ma 50 3 0 16 Oct 2024
Sub-graph Based Diffusion Model for Link Prediction Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Jiliang Tang DiffM 38 0 0 13 Sep 2024
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks Gabriele Immordino Andrea Vaiuso A. Ronch Marcello Righi AI4CE 28 3 0 07 May 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective Siyi Lin Chongming Gao Jiawei Chen Sheng Zhou Binbin Hu Yan Feng Chun-Yen Chen Can Wang 50 8 0 18 Apr 2024
CSA-Trans: Code Structure Aware Transformer for AST Saeyoon Oh Shin Yoo 54 1 0 07 Apr 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lio 87 4 0 12 Mar 2024
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 65 3 0 20 Oct 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Tengjiao Wang 51 13 0 28 Jun 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 53 3 0 17 May 2023
InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks Seungbae Kim Jyun-Yu Jiang Jinyoung Han Wei Wang GNN 19 4 0 04 Apr 2023
Adap- $τ$ : Adaptively Modulating Embedding Magnitude for Recommendation Jiawei Chen Junkang Wu Jiancan Wu Sheng Zhou Xuezhi Cao Xiangnan He 43 30 0 09 Feb 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 39 3 0 29 Jan 2023
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 56 14 0 28 Nov 2022
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks K. Kishan Rui Li Paribesh Regmi Anne R. Haake 21 1 0 22 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 38 1 0 12 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 83 40 0 06 Nov 2022
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 45 7 0 27 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 53 32 0 21 Oct 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 37 21 0 03 Aug 2022
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning Yufei Liu Jie Cao D. Pi GNN 28 3 0 26 Jul 2022
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis Haobing Liu Yanmin Zhu Chunyang Wang Jianyu Ding Jiadi Yu Feilong Tang 34 4 0 24 Jul 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 36 40 0 09 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 21 112 0 09 Jun 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 40 64 0 02 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN 57 60 0 01 Mar 2022
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Chenxing Wang GNN AI4TS 19 1 0 04 Dec 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks Hao Xue Kaixiong Zhou Tianlong Chen Kai Guo Xia Hu Yi Chang Xin Wang AAML 48 15 0 28 Oct 2021
Relation-aware Heterogeneous Graph for User Profiling Qilong Yan Yufeng Zhang Qiang Liu Shu Wu Liang Wang 54 19 0 14 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 40 8 0 10 Oct 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Ziyue Qiao Yanjie Fu Pengyang Wang Meng Xiao Zhiyuan Ning Denghui Zhang Yi Du Yuanchun Zhou 39 13 0 08 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 38 50 0 06 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 54 42 0 24 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 52 123 0 04 Aug 2021
Propagation-aware Social Recommendation by Transfer Learning Haodong Chang Ya-Chi Chu 23 0 0 10 Jul 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 26 49 0 30 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 54 220 0 21 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 65 1,035 0 30 May 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 21 11 0 19 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 30 118 0 16 Dec 2020
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 26 63 0 08 Dec 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 23 145 0 29 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong Ge Li Mucong Ding Zuxuan Wu Chen Zhu Guohao Li Gavin Taylor Tom Goldstein 110 75 0 19 Oct 2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network Jiqian Dong Sikai Chen P. Ha Yujie Li Samuel Labi 23 37 0 12 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 58 226 0 30 Sep 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 59 1,461 0 04 Jul 2020
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks Yusi Zhang Chuanjie Liu Angen Luo Hui Xue Xuan Shan Y. Luo Yiqian Xia Yuanchi Yan Haidong Wang 32 6 0 03 Jul 2020