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ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective

17 January 2025
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
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Papers citing "ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective"

12 / 12 papers shown
Title
BloomGML: Graph Machine Learning through the Lens of Bilevel
  Optimization
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
Amber Yijia Zheng
Tong He
Yixuan Qiu
Minjie Wang
David Wipf
31
2
0
07 Mar 2024
Towards Foundation Models for Knowledge Graph Reasoning
Towards Foundation Models for Knowledge Graph Reasoning
Mikhail Galkin
Xinyu Yuan
Hesham Mostafa
Jian Tang
Zhaocheng Zhu
VLM
ReLM
31
35
0
06 Oct 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous
  networks
DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo
Matteo Zignani
S. Gaito
37
1
0
30 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
56
13
0
25 Sep 2023
Temporal Smoothness Regularisers for Neural Link Predictors
Temporal Smoothness Regularisers for Neural Link Predictors
Manuel Dileo
Pasquale Minervini
Matteo Zignani
S. Gaito
33
1
0
16 Sep 2023
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
Akash Anil
Víctor Gutiérrez-Basulto
Yazmín Ibánez-García
Steven Schockaert
23
2
0
14 Aug 2023
A Multi-Task Perspective for Link Prediction with New Relation Types and
  Nodes
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes
Jincheng Zhou
Beatrice Bevilacqua
Bruno Ribeiro
27
7
0
12 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting
Improving Language Plasticity via Pretraining with Active Forgetting
Yihong Chen
Kelly Marchisio
Roberta Raileanu
David Ifeoluwa Adelani
Pontus Stenetorp
Sebastian Riedel
Mikel Artetx
KELM
AI4CE
CLL
28
23
0
03 Jul 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and
  New Relation Types
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Jianfei Gao
Yangze Zhou
Jincheng Zhou
Bruno Ribeiro
35
9
0
02 Feb 2023
Message passing all the way up
Message passing all the way up
Petar Velickovic
111
63
0
22 Feb 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
85
43
0
06 Oct 2021
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
101
82
0
30 Mar 2020
1