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An Open Challenge for Inductive Link Prediction on Knowledge Graphs

An Open Challenge for Inductive Link Prediction on Knowledge Graphs

3 March 2022
Mikhail Galkin
M. Berrendorf
Charles Tapley Hoyt
    AI4CE
ArXivPDFHTML

Papers citing "An Open Challenge for Inductive Link Prediction on Knowledge Graphs"

17 / 17 papers shown
Title
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
Yucheng Zhang
Beatrice Bevilacqua
Mikhail Galkin
Bruno Ribeiro
68
2
0
26 Feb 2025
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context
  Reasoning
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
Yuanning Cui
Zequn Sun
Wei Hu
ReLM
LRM
18
1
0
16 Oct 2024
Learning Rule-Induced Subgraph Representations for Inductive Relation
  Prediction
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
Tianyu Liu
Qitan Lv
Jie Wang
Shuling Yang
Hanzhu Chen
31
3
0
09 Aug 2024
Towards Better Benchmark Datasets for Inductive Knowledge Graph
  Completion
Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
Harry Shomer
Jay Revolinsky
Jiliang Tang
38
0
0
14 Jun 2024
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework
  for Knowledge Graph Link Predictors
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors
Filip Cornell
Yifei Jin
Jussi Karlgren
Sarunas Girdzijauskas
20
0
0
25 Jan 2024
Introducing New Node Prediction in Graph Mining: Predicting All Links
  from Isolated Nodes with Graph Neural Networks
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks
D. Zanardini
Emilio Serrano
AI4CE
GNN
29
0
0
10 Jan 2024
Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link
  Prediction in Knowledge Graphs
Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs
Nicolas Hubert
Pierre Monnin
Heiko Paulheim
22
2
0
08 Dec 2023
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
39
36
0
06 Oct 2023
Towards Semantically Enriched Embeddings for Knowledge Graph Completion
Towards Semantically Enriched Embeddings for Knowledge Graph Completion
Mehwish Alam
F. V. Harmelen
Maribel Acosta
32
4
0
31 Jul 2023
Disentangling Node Attributes from Graph Topology for Improved
  Generalizability in Link Prediction
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction
Ayan Chatterjee
Robin G. Walters
G. Menichetti
Tina Eliassi-Rad
AI4CE
29
2
0
17 Jul 2023
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
Construction of Knowledge Graphs: State and Challenges
Construction of Knowledge Graphs: State and Challenges
Marvin Hofer
Daniel Obraczka
A. Saeedi
Hanna Köpcke
Erhard Rahm
26
31
0
22 Feb 2023
Exploring Wasserstein Distance across Concept Embeddings for Ontology
  Matching
Exploring Wasserstein Distance across Concept Embeddings for Ontology Matching
Yuan An
Alexander Kalinowski
Jane Greenberg
11
3
0
22 Jul 2022
Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG):
  Challenges and Case Studies
Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies
Yuan‐Yuan An
Jane Greenberg
Xintong Zhao
Xiaohua Hu
Scott J. Mcclellan
...
Kyle Langlois
Jacob Furst
Diego A. Gómez-Gualdrón
Fernando Fajardo-Rojas
Katherine Ardila
AI4CE
31
5
0
10 Jul 2022
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
Tara Safavi
Doug Downey
Tom Hope
24
6
0
16 May 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,106
0
27 Apr 2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph
  Embeddings
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
Mehdi Ali
M. Berrendorf
Charles Tapley Hoyt
Laurent Vermue
Sahand Sharifzadeh
Volker Tresp
Jens Lehmann
39
142
0
28 Jul 2020
1