TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yucheng, Bevilacqua, Beatrice, Galkin, Mikhail, Ribeiro, Bruno |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Foundation Model for Zero-shot Logical Query Reasoning
by: Galkin, Mikhail, et al.
Published: (2024)
by: Galkin, Mikhail, et al.
Published: (2024)
How Expressive are Knowledge Graph Foundation Models?
by: Huang, Xingyue, et al.
Published: (2025)
by: Huang, Xingyue, et al.
Published: (2025)
On the Effectiveness of Random Weights in Graph Neural Networks
by: Bui, Thu, et al.
Published: (2025)
by: Bui, Thu, et al.
Published: (2025)
Bridging Input Feature Spaces Towards Graph Foundation Models
by: Eliasof, Moshe, et al.
Published: (2026)
by: Eliasof, Moshe, et al.
Published: (2026)
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Queries over Incomplete Knowledge Graphs
by: Olejniczak, Krzysztof, et al.
Published: (2024)
by: Olejniczak, Krzysztof, et al.
Published: (2024)
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
by: Li, Yuhan, et al.
Published: (2024)
by: Li, Yuhan, et al.
Published: (2024)
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
by: Bar-Shalom, Guy, et al.
Published: (2024)
by: Bar-Shalom, Guy, et al.
Published: (2024)
Efficient Subgraph GNNs by Learning Effective Selection Policies
by: Bevilacqua, Beatrice, et al.
Published: (2023)
by: Bevilacqua, Beatrice, et al.
Published: (2023)
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
by: Mantri, Krishna Sri Ipsit, et al.
Published: (2024)
by: Mantri, Krishna Sri Ipsit, et al.
Published: (2024)
Boosting Relational Deep Learning with Pretrained Tabular Models
by: Lachi, Veronica, et al.
Published: (2025)
by: Lachi, Veronica, et al.
Published: (2025)
HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs
by: Huang, Xingyue, et al.
Published: (2025)
by: Huang, Xingyue, et al.
Published: (2025)
TRIX- Trading Adversarial Fairness via Mixed Adversarial Training
by: Medi, Tejaswini, et al.
Published: (2025)
by: Medi, Tejaswini, et al.
Published: (2025)
TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion
by: Liu, Lihui, et al.
Published: (2025)
by: Liu, Lihui, et al.
Published: (2025)
Learning More Expressive General Policies for Classical Planning Domains
by: Ståhlberg, Simon, et al.
Published: (2024)
by: Ståhlberg, Simon, 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)
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
by: Maskey, Sohir, et al.
Published: (2025)
by: Maskey, Sohir, et al.
Published: (2025)
Attending to Graph Transformers
by: Müller, Luis, et al.
Published: (2023)
by: Müller, Luis, et al.
Published: (2023)
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
by: Chen, Zixiang, et al.
Published: (2023)
by: Chen, Zixiang, et al.
Published: (2023)
One-for-All Model Initialization with Frequency-Domain Knowledge
by: Shen, Jianlu, et al.
Published: (2026)
by: Shen, Jianlu, et al.
Published: (2026)
A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
by: Shen, Jianlu, et al.
Published: (2026)
by: Shen, Jianlu, et al.
Published: (2026)
GRANOLA: Adaptive Normalization for Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)
by: Eliasof, Moshe, et al.
Published: (2024)
ZTab: Domain-based Zero-shot Annotation for Table Columns
by: Hoseinzade, Ehsan, et al.
Published: (2026)
by: Hoseinzade, Ehsan, et al.
Published: (2026)
Zero-shot Factual Consistency Evaluation Across Domains
by: Agarwal, Raunak
Published: (2024)
by: Agarwal, Raunak
Published: (2024)
Position: Graph Foundation Models are Already Here
by: Mao, Haitao, et al.
Published: (2024)
by: Mao, Haitao, et al.
Published: (2024)
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
by: Zhao, Tianxiang, et al.
Published: (2024)
by: Zhao, Tianxiang, et al.
Published: (2024)
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
by: Zou, Xiandong, et al.
Published: (2023)
by: Zou, Xiandong, et al.
Published: (2023)
Bringing Graphs to the Table: Zero-shot Node Classification via Tabular Foundation Models
by: Hayler, Adrian, et al.
Published: (2025)
by: Hayler, Adrian, et al.
Published: (2025)
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
by: Gastinger, Julia, et al.
Published: (2024)
by: Gastinger, Julia, et al.
Published: (2024)
Rademacher Meets Colors: More Expressivity, but at What Cost ?
by: Carrasco, Martin, et al.
Published: (2025)
by: Carrasco, Martin, et al.
Published: (2025)
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
by: Niu, Chaoxi, et al.
Published: (2024)
by: Niu, Chaoxi, et al.
Published: (2024)
BlitzRank: Principled Zero-shot Ranking Agents with Tournament Graphs
by: Agrawal, Sheshansh, et al.
Published: (2026)
by: Agrawal, Sheshansh, et al.
Published: (2026)
AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2025)
by: Qiao, Hezhe, et al.
Published: (2025)
Fully-inductive Node Classification on Arbitrary Graphs
by: Zhao, Jianan, et al.
Published: (2024)
by: Zhao, Jianan, et al.
Published: (2024)
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning
by: Zhu, Yun, et al.
Published: (2023)
by: Zhu, Yun, et al.
Published: (2023)
Knowledge Diversion for Efficient Morphology Control and Policy Transfer
by: Feng, Fu, et al.
Published: (2025)
by: Feng, Fu, et al.
Published: (2025)
More Expressive Attention with Negative Weights
by: Lv, Ang, et al.
Published: (2024)
by: Lv, Ang, et al.
Published: (2024)
Transfer of Structural Knowledge from Synthetic Languages
by: Budnikov, Mikhail, et al.
Published: (2025)
by: Budnikov, Mikhail, et al.
Published: (2025)
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
by: Shi, Ruxue, et al.
Published: (2025)
by: Shi, Ruxue, et al.
Published: (2025)
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains
by: Ramprasad, Sanjana, et al.
Published: (2024)
by: Ramprasad, Sanjana, et al.
Published: (2024)
Zero-shot World Models via Search in Memory
by: Malato, Federico, et al.
Published: (2025)
by: Malato, Federico, et al.
Published: (2025)
Similar Items
-
A Foundation Model for Zero-shot Logical Query Reasoning
by: Galkin, Mikhail, et al.
Published: (2024) -
How Expressive are Knowledge Graph Foundation Models?
by: Huang, Xingyue, et al.
Published: (2025) -
On the Effectiveness of Random Weights in Graph Neural Networks
by: Bui, Thu, et al.
Published: (2025) -
Bridging Input Feature Spaces Towards Graph Foundation Models
by: Eliasof, Moshe, et al.
Published: (2026) -
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Queries over Incomplete Knowledge Graphs
by: Olejniczak, Krzysztof, et al.
Published: (2024)