Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Anil, Akash, Gutiérrez-Basulto, Víctor, Ibañéz-García, Yazmín, Schockaert, Steven |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Path-based Explanation for Knowledge Graph Completion
by: Chang, Heng, et al.
Published: (2024)
by: Chang, Heng, et al.
Published: (2024)
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs
by: Chatterjee, Shraban Kumar, et al.
Published: (2024)
by: Chatterjee, Shraban Kumar, et al.
Published: (2024)
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
by: Kim, Dongkwan, et al.
Published: (2022)
by: Kim, Dongkwan, et al.
Published: (2022)
Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness-Generalization Perspective
by: Gu, Ming, et al.
Published: (2024)
by: Gu, Ming, et al.
Published: (2024)
Learning Resilient Elections with Adversarial GNNs
by: Li, Hao Xiang, et al.
Published: (2026)
by: Li, Hao Xiang, et al.
Published: (2026)
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
by: Zhou, Zhanke, et al.
Published: (2024)
by: Zhou, Zhanke, et al.
Published: (2024)
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
by: Wang, Shuo, et al.
Published: (2025)
by: Wang, Shuo, et al.
Published: (2025)
Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
by: Du, Yuwei, et al.
Published: (2024)
by: Du, Yuwei, et al.
Published: (2024)
Neural Common Neighbor with Completion for Link Prediction
by: Wang, Xiyuan, et al.
Published: (2023)
by: Wang, Xiyuan, et al.
Published: (2023)
Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social Media
by: da Silva, Bruno Croso Cunha, et al.
Published: (2024)
by: da Silva, Bruno Croso Cunha, et al.
Published: (2024)
Capturing Knowledge Graphs and Rules with Octagon Embeddings
by: Charpenay, Victor, et al.
Published: (2024)
by: Charpenay, Victor, et al.
Published: (2024)
HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings
by: Gajjar, Jugal, et al.
Published: (2025)
by: Gajjar, Jugal, et al.
Published: (2025)
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis
by: Wang, Qunzhong, et al.
Published: (2024)
by: Wang, Qunzhong, et al.
Published: (2024)
Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
by: Zhu, Yinlin, et al.
Published: (2025)
by: Zhu, Yinlin, et al.
Published: (2025)
A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning
by: Yu, Xingtong, et al.
Published: (2024)
by: Yu, Xingtong, et al.
Published: (2024)
Temporal Graph Rewiring with Expander Graphs
by: Petrović, Katarina, et al.
Published: (2024)
by: Petrović, Katarina, et al.
Published: (2024)
OpenGraph: Towards Open Graph Foundation Models
by: Xia, Lianghao, et al.
Published: (2024)
by: Xia, Lianghao, et al.
Published: (2024)
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
by: He, Silu, et al.
Published: (2023)
by: He, Silu, et al.
Published: (2023)
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
by: Xie, Beini, et al.
Published: (2024)
by: Xie, Beini, et al.
Published: (2024)
Graph Data Condensation via Self-expressive Graph Structure Reconstruction
by: Liu, Zhanyu, et al.
Published: (2024)
by: Liu, Zhanyu, et al.
Published: (2024)
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
by: Liang, Xujian, et al.
Published: (2025)
by: Liang, Xujian, et al.
Published: (2025)
Simple Graph Condensation
by: Xiao, Zhenbang, et al.
Published: (2024)
by: Xiao, Zhenbang, et al.
Published: (2024)
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
by: Gao, Zhangyang, et al.
Published: (2024)
by: Gao, Zhangyang, et al.
Published: (2024)
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
by: Lv, Rui, et al.
Published: (2025)
by: Lv, Rui, et al.
Published: (2025)
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN
by: Zhou, Zhilun, et al.
Published: (2024)
by: Zhou, Zhilun, et al.
Published: (2024)
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
by: Shen, Zhixiang, et al.
Published: (2024)
by: Shen, Zhixiang, et al.
Published: (2024)
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
by: Fu, Dongqi, et al.
Published: (2024)
by: Fu, Dongqi, et al.
Published: (2024)
Hyperbolic Heterogeneous Graph Transformer
by: Park, Jongmin, et al.
Published: (2026)
by: Park, Jongmin, et al.
Published: (2026)
Generative Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
Temporal Graph Pattern Machine
by: Ma, Yijun, et al.
Published: (2026)
by: Ma, Yijun, et al.
Published: (2026)
Graph Generation with $K^2$-trees
by: Jang, Yunhui, et al.
Published: (2023)
by: Jang, Yunhui, et al.
Published: (2023)
Systematic Relational Reasoning With Epistemic Graph Neural Networks
by: Khalid, Irtaza, et al.
Published: (2024)
by: Khalid, Irtaza, et al.
Published: (2024)
Balanced Multi-Relational Graph Clustering
by: Shen, Zhixiang, et al.
Published: (2024)
by: Shen, Zhixiang, et al.
Published: (2024)
Prompt Learning on Temporal Interaction Graphs
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
Commute-Time-Optimised Graphs for GNNs
by: Sterner, Igor, et al.
Published: (2024)
by: Sterner, Igor, et al.
Published: (2024)
Classifying Nodes in Graphs without GNNs
by: Winter, Daniel, et al.
Published: (2024)
by: Winter, Daniel, et al.
Published: (2024)
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)
by: Li, Xiping, et al.
Published: (2025)
Similar Items
-
Path-based Explanation for Knowledge Graph Completion
by: Chang, Heng, et al.
Published: (2024) -
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs
by: Chatterjee, Shraban Kumar, et al.
Published: (2024) -
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
by: Kim, Dongkwan, et al.
Published: (2022) -
Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness-Generalization Perspective
by: Gu, Ming, et al.
Published: (2024) -
Learning Resilient Elections with Adversarial GNNs
by: Li, Hao Xiang, et al.
Published: (2026)