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Dynamically Pruned Message Passing Networks for Large-Scale Knowledge
  Graph Reasoning

Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning

25 September 2019
Xiaoran Xu
Wei Feng
Yunsheng Jiang
Xiaohui Xie
Zhiqing Sun
Zhihong Deng
    LRM
ArXivPDFHTML

Papers citing "Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning"

13 / 13 papers shown
Title
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
59
20
0
17 Jan 2025
Knowledge Graph Pruning for Recommendation
Knowledge Graph Pruning for Recommendation
Fake Lin
Xi Zhu
Ziwei Zhao
Deqiang Huang
Yu Yu
Xueying Li
Zhi Zheng
Tong Bill Xu
Enhong Chen
29
0
0
19 May 2024
Do as I can, not as I get
Do as I can, not as I get
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
26
1
0
17 Jun 2023
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Zhaocheng Zhu
Xinyu Yuan
Mikhail Galkin
Sophie Xhonneux
Ming Zhang
Maxime Gazeau
Jian Tang
GNN
LRM
29
36
0
07 Jun 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference
  on FPGA
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
Hongkuan Zhou
Bingyi Zhang
R. Kannan
Viktor Prasanna
Carl E. Busart
GNN
24
23
0
10 Mar 2022
Relation Prediction as an Auxiliary Training Objective for Improving
  Multi-Relational Graph Representations
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Yihong Chen
Pasquale Minervini
Sebastian Riedel
Pontus Stenetorp
83
43
0
06 Oct 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
36
18
0
21 Jul 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework
  for Link Prediction
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
GNN
25
300
0
13 Jun 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene
  Graph Generation
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li
Songyang Zhang
Bo Wan
Xuming He
185
214
0
01 Apr 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
23
3
0
12 Oct 2020
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
241
3,236
0
24 Nov 2016
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