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2011.09679
Cited By
Scalable Graph Neural Networks for Heterogeneous Graphs
19 November 2020
Lingfan Yu
Jiajun Shen
Jinyang Li
Adam Lerer
GNN
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Papers citing
"Scalable Graph Neural Networks for Heterogeneous Graphs"
28 / 28 papers shown
Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
Jun Hu
Shangheng Chen
Yufei He
Yuan N. Li
Bryan Hooi
Bingsheng He
108
0
0
14 Nov 2025
CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials
Chenghao Zhang
Qingqing Long
Ludi Wang
Wenjuan Cui
Jianjun Yu
Yi Du
131
0
0
21 Aug 2025
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
Michael Färber
David Lamprecht
Yuni Susanti
200
0
0
10 Jun 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li
Haobing Liu
Haobing Liu
Yuan Cao
Guoqing Chao
Zhongying Zhao
Junyu Dong
Yanwei Yu
Yanwei Yu
GNN
569
4
0
22 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Zichao Yue
Chenhui Deng
Zhiru Zhang
AI4CE
258
0
0
17 Apr 2025
Training-free Heterogeneous Graph Condensation via Data Selection
Yuxuan Liang
Feiyu Xiong
Xinyi Gao
L. Yang
Chong Chen
Hongzhi Yin
Yunhai Tong
Tengjiao Wang
DD
246
1
0
20 Dec 2024
Heta: Distributed Training of Heterogeneous Graph Neural Networks
Proceedings of the VLDB Endowment (PVLDB), 2024
Yuchen Zhong
Junwei Su
Chuan Wu
Minjie Wang
326
2
0
19 Aug 2024
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs
Michail Chatzianastasis
George Dasoulas
Michalis Vazirgiannis
SSL
211
1
0
20 Jun 2024
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
Zhenyu Pan
Yoonsung Jeong
Xiaoda Liu
Han Liu
265
1
0
22 May 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling
IEEE International Conference on Data Engineering (ICDE), 2024
Hussein Abdallah
Waleed Afandi
Panos Kalnis
Essam Mansour
249
6
0
09 Mar 2024
Efficient Heterogeneous Graph Learning via Random Projection
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jun Hu
Bryan Hooi
Bingsheng He
354
31
0
23 Oct 2023
Long-range Meta-path Search on Large-scale Heterogeneous Graphs
Neural Information Processing Systems (NeurIPS), 2023
Chao Li
Zijie Guo
Qiuting He
Hao Xu
Kun He
479
9
0
17 Jul 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
The Web Conference (WWW), 2023
Mingguo He
Zhewei Wei
Shi Feng
Zhengjie Huang
Weibin Li
Yu Sun
Dianhai Yu
473
17
0
31 May 2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Chenguang Du
Kaichun Yao
Hengshu Zhu
Deqing Wang
Fuzhen Zhuang
Hui Xiong
200
12
0
18 May 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Jiong Zhu
Aishwarya N. Reganti
E-Wen Huang
Charles Dickens
Nikhil S. Rao
Karthik Subbian
Danai Koutra
GNN
FedML
254
8
0
17 May 2023
Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks
Knowledge-Based Systems (KBS), 2023
Chao Li
Hao Xu
Kun He
296
4
0
23 Apr 2023
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Neural Networks (NN), 2022
Xinyu Fu
Irwin King
316
37
0
23 Nov 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
International Conference on Machine Learning (ICML), 2022
Zirui Liu
Sheng-Wei Chen
Kaixiong Zhou
Daochen Zha
Xiao Huang
Helen Zhou
353
24
0
19 Oct 2022
Multiplex Heterogeneous Graph Convolutional Network
Knowledge Discovery and Data Mining (KDD), 2022
YU Peng
Chaofan Fu
Yanwei Yu
Chao Huang
Zhongying Zhao
Junyu Dong
258
105
0
12 Aug 2022
Simple and Efficient Heterogeneous Graph Neural Network
AAAI Conference on Artificial Intelligence (AAAI), 2022
Xiaocheng Yang
Yurui Lai
Shirui Pan
Xiaochun Ye
Xiaochun Ye
371
226
0
06 Jul 2022
Graph Attention Multi-Layer Perceptron
Knowledge Discovery and Data Mining (KDD), 2022
Wentao Zhang
Ziqi Yin
Zeang Sheng
Yan Zhao
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
AI4CE
262
138
0
09 Jun 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Proceedings of the VLDB Endowment (PVLDB), 2022
Saket Gurukar
Nikil Pancha
Andrew Zhai
Eric Kim
Samson Hu
Srinivas Parthasarathy
Charles R. Rosenberg
J. Leskovec
342
22
0
21 May 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings
Krzysztof Sadowski
Michal Szarmach
Eddie Mattia
242
8
0
01 Feb 2022
SCR: Training Graph Neural Networks with Consistency Regularization
Chenhui Zhang
Yufei He
Yukuo Cen
Zhenyu Hou
Wenzheng Feng
Yuxiao Dong
Feng He
Hongyun Cai
Feng He
Jie Tang
233
14
0
08 Dec 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation
Cole Hawkins
V. Ioannidis
Soji Adeshina
George Karypis
GNN
SSL
223
3
0
12 Oct 2021
Graph Attention MLP with Reliable Label Utilization
Wentao Zhang
Ziqi Yin
Zeang Sheng
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
239
5
0
23 Aug 2021
Large-scale graph representation learning with very deep GNNs and self-supervision
Ravichandra Addanki
Peter W. Battaglia
David Budden
Andreea Deac
Jonathan Godwin
...
Wai Lok Sibon Li
Alvaro Sanchez-Gonzalez
Jacklynn Stott
S. Thakoor
Petar Velivcković
SSL
AI4CE
258
27
0
20 Jul 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
International Conference on Machine Learning (ICML), 2021
Matthias Fey
J. E. Lenssen
F. Weichert
J. Leskovec
GNN
297
149
0
10 Jun 2021
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