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Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
    GNN
    BDL
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Papers citing "Graph Convolutional Neural Networks for Web-Scale Recommender Systems"

50 / 1,259 papers shown
Title
A Network Science perspective of Graph Convolutional Networks: A survey
A Network Science perspective of Graph Convolutional Networks: A survey
Mingshan Jia
Bogdan Gabrys
Katarzyna Musial
GNN
32
7
0
12 Jan 2023
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter
  Configuration in Cellular Network
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network
Mehrtash Mehrabi
Walid Masoudimansour
Yingxue Zhang
Jie Chuai
Zhitang Chen
Mark J. Coates
Jianye Hao
Yanhui Geng
38
1
0
29 Dec 2022
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent
  Node Embeddings
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
Ryan Aponte
Ryan A. Rossi
Shunan Guo
Jane Hoffswell
Nedim Lipka
Chang Xiao
G. Chan
E. Koh
Nesreen Ahmed
GNN
25
11
0
28 Dec 2022
Refined Edge Usage of Graph Neural Networks for Edge Prediction
Jiarui Jin
Yangkun Wang
Weinan Zhang
Quan Gan
Xiang Song
Yong Yu
Zheng-Wei Zhang
David Wipf
23
2
0
25 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information
  Gain Ratio for Graph Neural Networks
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks
Yuga Oishi
Ken Kaneiwa
25
1
0
24 Dec 2022
Bring Your Own View: Graph Neural Networks for Link Prediction with
  Personalized Subgraph Selection
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection
Qiaoyu Tan
Xin Zhang
Ninghao Liu
Daochen Zha
Li Li
Rui Chen
Soo-Hyun Choi
Xia Hu
33
41
0
23 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks
Influence-Based Mini-Batching for Graph Neural Networks
Johannes Gasteiger
Chao Qian
Stephan Günnemann
GNN
24
13
0
18 Dec 2022
Scalable Graph Convolutional Network Training on Distributed-Memory
  Systems
Scalable Graph Convolutional Network Training on Distributed-Memory Systems
G. Demirci
Aparajita Haldar
Hakan Ferhatosmanoglu
GNN
28
9
0
09 Dec 2022
Graph Convolutional Neural Networks with Diverse Negative Samples via
  Decomposed Determinant Point Processes
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
Wei Duan
Junyu Xuan
Maoying Qiao
Jie Lu
15
8
0
05 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for
  Semi-supervised Classification
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
Jun-Liang Lin
Yuan Wan
Jingwen Xu
X. Qi
17
0
0
04 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between
  Vertices
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
Tom Verbin
Nadav Cohen
19
10
0
29 Nov 2022
Continuous Neural Algorithmic Planners
Continuous Neural Algorithmic Planners
Yu He
Petar Velivcković
Pietro Lio'
Andreea Deac
24
5
0
29 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci
  Curvature
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
K. Nguyen
Hieu Nong
T. Nguyen
Nhat Ho
Khuong N. Nguyen
Vinh Phu Nguyen
27
62
0
28 Nov 2022
You Can Have Better Graph Neural Networks by Not Training Weights at
  All: Finding Untrained GNNs Tickets
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
D. Mocanu
Zhangyang Wang
Mykola Pechenizkiy
Shiwei Liu
GNN
36
14
0
28 Nov 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure
  Awareness
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness
Jingcan Duan
Bin Xiao
Siwei Wang
Haifang Zhou
Xinwang Liu
AI4TS
20
10
0
28 Nov 2022
DGI: Easy and Efficient Inference for GNNs
DGI: Easy and Efficient Inference for GNNs
Peiqi Yin
Xiao Yan
Jinjing Zhou
Qiang Fu
Zhenkun Cai
James Cheng
Bo Tang
Minjie Wang
GNN
28
3
0
28 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings
Beyond 1-WL with Local Ego-Network Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
33
5
0
27 Nov 2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks
Demystifying Bitcoin Address Behavior via Graph Neural Networks
Zhen-Ji Huang
Yunyang Huang
Peng Qian
Jianhai Chen
Qinming He
GNN
25
6
0
26 Nov 2022
Link Prediction with Non-Contrastive Learning
Link Prediction with Non-Contrastive Learning
William Shiao
Zhichun Guo
Tong Zhao
Evangelos E. Papalexakis
Yozen Liu
Neil Shah
21
15
0
25 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks
GREAD: Graph Neural Reaction-Diffusion Networks
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
DiffM
GNN
19
26
0
25 Nov 2022
Predicting Biomedical Interactions with Probabilistic Model Selection
  for Graph Neural Networks
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks
K. Kishan
Rui Li
Paribesh Regmi
Anne R. Haake
9
1
0
22 Nov 2022
STGlow: A Flow-based Generative Framework with Dual Graphormer for
  Pedestrian Trajectory Prediction
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction
Rongqin Liang
Yuanman Li
Jiantao Zhou
Xia Li
37
12
0
21 Nov 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via
  Knowledge Distillation
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Zhen Tian
Ting Bai
Ziyan Zhang
Zhiyuan Xu
Kangyi Lin
Ji-Rong Wen
Wayne Xin Zhao
21
18
0
21 Nov 2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph
  Neural Networks via Reinforcement Learning
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
Mingxuan Ju
Yujie Fan
Chuxu Zhang
Yanfang Ye
AAML
22
35
0
19 Nov 2022
EGRC-Net: Embedding-induced Graph Refinement Clustering Network
EGRC-Net: Embedding-induced Graph Refinement Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
22
6
0
19 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering
Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
17
39
0
17 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
30
62
0
16 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from
  Markov Chains Perspective
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective
Weichen Zhao
Chenguang Wang
Congying Han
Tiande Guo
15
1
0
12 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
Qianlong Wen
Mingxuan Ju
Chuxu Zhang
Yanfang Ye
30
20
0
12 Nov 2022
Stable and Transferable Hyper-Graph Neural Networks
Stable and Transferable Hyper-Graph Neural Networks
Mikhail Hayhoe
Hans Riess
V. Preciado
Alejandro Ribeiro
38
1
0
11 Nov 2022
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86
  via Minibatch Sampling
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling
Md. Vasimuddin
Ramanarayan Mohanty
Sanchit Misra
Sasikanth Avancha
GNN
13
1
0
11 Nov 2022
Situating Recommender Systems in Practice: Towards Inductive Learning
  and Incremental Updates
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates
Tobias Schnabel
Mengting Wan
Longqi Yang
HAI
27
8
0
11 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Haiyang Lin
Mingyu Yan
Xiaochun Ye
Dongrui Fan
Shirui Pan
Wenguang Chen
Yuan Xie
GNN
25
24
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
Graph Contrastive Learning with Implicit Augmentations
Graph Contrastive Learning with Implicit Augmentations
Huidong Liang
Xingjian Du
Bilei Zhu
Zejun Ma
Ke Chen
Junbin Gao
13
29
0
07 Nov 2022
Exponentially Improving the Complexity of Simulating the
  Weisfeiler-Lehman Test with Graph Neural Networks
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Anders Aamand
Justin Y. Chen
Piotr Indyk
Shyam Narayanan
R. Rubinfeld
Nicholas Schiefer
Sandeep Silwal
Tal Wagner
37
21
0
06 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources
Unlearning Graph Classifiers with Limited Data Resources
Chao Pan
Eli Chien
O. Milenkovic
MU
23
32
0
06 Nov 2022
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph
  Node Classifiers
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
Haris Mansoor
Sarwan Ali
Shafiq Alam
Muhammad Asad Khan
U. Hassan
Imdadullah Khan
FaML
19
5
0
01 Nov 2022
Track2Vec: fairness music recommendation with a GPU-free
  customizable-driven framework
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
Wei Du
Wei-Yao Wang
Wen-Chih Peng
21
0
0
29 Oct 2022
Training Graph Neural Networks on Growing Stochastic Graphs
Training Graph Neural Networks on Growing Stochastic Graphs
J. Cerviño
Luana Ruiz
Alejandro Ribeiro
GNN
11
8
0
27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks
Weihua Hu
Kaidi Cao
Kexin Huang
E-Wen Huang
Karthik Subbian
Kenji Kawaguchi
J. Leskovec
24
0
0
26 Oct 2022
Network Aware Compute and Memory Allocation in Optically Composable Data
  Centres with Deep Reinforcement Learning and Graph Neural Networks
Network Aware Compute and Memory Allocation in Optically Composable Data Centres with Deep Reinforcement Learning and Graph Neural Networks
Zacharaya Shabka
G. Zervas
GNN
22
4
0
26 Oct 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
M. F. Balin
Ümit V. Çatalyürek
19
15
0
24 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration
Binary Graph Convolutional Network with Capacity Exploration
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
GNN
17
5
0
24 Oct 2022
Graph Few-shot Learning with Task-specific Structures
Graph Few-shot Learning with Task-specific Structures
Song Wang
Chen Chen
Jundong Li
37
22
0
21 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
Global Counterfactual Explainer for Graph Neural Networks
Global Counterfactual Explainer for Graph Neural Networks
Mert Kosan
Zexi Huang
Sourav Medya
Sayan Ranu
Ambuj K. Singh
23
47
0
21 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse
  Computations
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
Zirui Liu
Sheng-Wei Chen
Kaixiong Zhou
Daochen Zha
Xiao Huang
Xia Hu
29
14
0
19 Oct 2022
On Classification Thresholds for Graph Attention with Edge Features
On Classification Thresholds for Graph Attention with Edge Features
K. Fountoulakis
Dake He
Silvio Lattanzi
Bryan Perozzi
Anton Tsitsulin
Shenghao Yang
GNN
24
6
0
18 Oct 2022
Code Recommendation for Open Source Software Developers
Code Recommendation for Open Source Software Developers
Yiqiao Jin
Yunsheng Bai
Yanqiao Zhu
Yizhou Sun
Wei Wang
25
24
0
15 Oct 2022
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