Unlearning of Knowledge Graph Embedding via Preference Optimization | Paper Citation Record

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This paper cites Knowledge graph embedding: A survey of approaches and applications.

Unlearning of Knowledge Graph Embedding via Preference Optimization Knowledge graph embedding: A survey of approaches and applications

Reference 1

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Observation bd224036-95ce-40f9-b0b4-c093496264c4 · outbound

This paper cites Knowledge graph embedding for link prediction: A comparative analysis.

Unlearning of Knowledge Graph Embedding via Preference Optimization Knowledge graph embedding for link prediction: A comparative analysis

Reference 2

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This paper cites Knowledge vault: A web-scale approach to proba- bilistic knowledge fusion.

Unlearning of Knowledge Graph Embedding via Preference Optimization Knowledge vault: A web-scale approach to proba- bilistic knowledge fusion

Reference 3

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This paper cites Open question answering with weakly supervised embedding models.

Unlearning of Knowledge Graph Embedding via Preference Optimization Open question answering with weakly supervised embedding models

Reference 4

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This paper cites Semantic parsing via paraphrasing.

Unlearning of Knowledge Graph Embedding via Preference Optimization Semantic parsing via paraphrasing

Reference 5

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This paper cites ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models.

Unlearning of Knowledge Graph Embedding via Preference Optimization ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models

Reference 6

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This paper cites A survey of graph unlearning.

Unlearning of Knowledge Graph Embedding via Preference Optimization A survey of graph unlearning

Reference 7

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This paper cites Suchanek, Gjergji Kasneci, and Gerhard Weikum.

Unlearning of Knowledge Graph Embedding via Preference Optimization Suchanek, Gjergji Kasneci, and Gerhard Weikum

Reference 8

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Observation 246977a5-1262-4750-a0cf-b40aa3aa9e83 · outbound

This paper cites Suchanek, Klaus Berberich, and Gerhard Weikum.

Unlearning of Knowledge Graph Embedding via Preference Optimization Suchanek, Klaus Berberich, and Gerhard Weikum

Reference 9

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This paper cites Editing language model-based knowledge graph embeddings.

Unlearning of Knowledge Graph Embedding via Preference Optimization Editing language model-based knowledge graph embeddings

Reference 10

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This paper cites Machine unlearning.

Unlearning of Knowledge Graph Embedding via Preference Optimization Machine unlearning

Reference 11

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This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

Unlearning of Knowledge Graph Embedding via Preference Optimization Who's Harry Potter? Approximate Unlearning in LLMs

Reference 12

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This paper cites Machine Unlearning: A Comprehensive Survey.

Unlearning of Knowledge Graph Embedding via Preference Optimization Machine Unlearning: A Comprehensive Survey

Reference 13

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This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

Unlearning of Knowledge Graph Embedding via Preference Optimization Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 14

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This paper cites Unrolling sgd: Understanding factors influencing machine unlearning.

Unlearning of Knowledge Graph Embedding via Preference Optimization Unrolling sgd: Understanding factors influencing machine unlearning

Reference 15

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This paper cites Arcane: An efficient architecture for exact machine unlearning.

Unlearning of Knowledge Graph Embedding via Preference Optimization Arcane: An efficient architecture for exact machine unlearning

Reference 16

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This paper cites Puma: Performance unchanged model augmentation for training data removal.

Unlearning of Knowledge Graph Embedding via Preference Optimization Puma: Performance unchanged model augmentation for training data removal

Reference 17

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Observation 2de6720c-25e8-4ba3-9c53-137db621ef43 · outbound

This paper cites Convolutional 2d knowledge graph embeddings.

Unlearning of Knowledge Graph Embedding via Preference Optimization Convolutional 2d knowledge graph embeddings

Reference 18

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Observation ca4ed0da-7551-4b0f-a39f-4fc74581571b · outbound

This paper cites Representing text for joint embedding of text and knowledge bases.

Unlearning of Knowledge Graph Embedding via Preference Optimization Representing text for joint embedding of text and knowledge bases

Reference 19

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This paper cites Codex: A comprehensive knowledge graph completion bench- mark.

Unlearning of Knowledge Graph Embedding via Preference Optimization Codex: A comprehensive knowledge graph completion bench- mark

Reference 20

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Observation f898fa40-6f9d-405f-9e4f-db7db9862059 · outbound

This paper cites Yago3: A knowledge base from multilingual wikipedias.

Unlearning of Knowledge Graph Embedding via Preference Optimization Yago3: A knowledge base from multilingual wikipedias

Reference 21

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This paper cites A Survey of Machine Unlearning.

Unlearning of Knowledge Graph Embedding via Preference Optimization A Survey of Machine Unlearning

Reference 22

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This paper cites Fast machine unlearning without retraining through selective synaptic dampening.

Unlearning of Knowledge Graph Embedding via Preference Optimization Fast machine unlearning without retraining through selective synaptic dampening

Reference 23

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This paper cites Learning to unlearn: Instance-wise unlearning for pre-trained classifiers.

Unlearning of Knowledge Graph Embedding via Preference Optimization Learning to unlearn: Instance-wise unlearning for pre-trained classifiers

Reference 24

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This paper cites Knowledge graph unlearning with schema.

Unlearning of Knowledge Graph Embedding via Preference Optimization Knowledge graph unlearning with schema

Reference 25

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Observation b30d0d74-ea09-4fc0-b1fd-26f1620bc35d · outbound

This paper cites Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning.

Unlearning of Knowledge Graph Embedding via Preference Optimization Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning

Reference 26

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This paper cites Translating embeddings for modeling multi-relational data.

Unlearning of Knowledge Graph Embedding via Preference Optimization Translating embeddings for modeling multi-relational data

Reference 27

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This paper cites Complex embeddings for simple link prediction.

Unlearning of Knowledge Graph Embedding via Preference Optimization Complex embeddings for simple link prediction

Reference 28

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This paper cites Rotate: Knowledge graph embed- ding by relational rotation in complex space.

Unlearning of Knowledge Graph Embedding via Preference Optimization Rotate: Knowledge graph embed- ding by relational rotation in complex space

Reference 29

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This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Unlearning of Knowledge Graph Embedding via Preference Optimization Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 30

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This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Unlearning of Knowledge Graph Embedding via Preference Optimization SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 31

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This paper cites Proximal Policy Optimization Algorithms.

Unlearning of Knowledge Graph Embedding via Preference Optimization Proximal Policy Optimization Algorithms

Reference 32

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This paper cites Direct preference optimization: Your language model is secretly a reward model.

Unlearning of Knowledge Graph Embedding via Preference Optimization Direct preference optimization: Your language model is secretly a reward model

Reference 33

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This paper cites A general theoretical paradigm to understand learning from human preferences.

Unlearning of Knowledge Graph Embedding via Preference Optimization A general theoretical paradigm to understand learning from human preferences

Reference 34

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This paper cites Learning multi-granularity and adaptive representation for knowledge graph reasoning.

Unlearning of Knowledge Graph Embedding via Preference Optimization Learning multi-granularity and adaptive representation for knowledge graph reasoning

Reference 35

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This paper cites A comprehensive survey of forgetting in deep learning beyond continual learning, 2023.

Unlearning of Knowledge Graph Embedding via Preference Optimization A comprehensive survey of forgetting in deep learning beyond continual learning, 2023

Reference 36

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This paper cites Dualde: Dually distilling knowledge graph embedding for faster and cheaper reasoning.

Unlearning of Knowledge Graph Embedding via Preference Optimization Dualde: Dually distilling knowledge graph embedding for faster and cheaper reasoning

Reference 37

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This paper cites Towards continual knowledge graph embedding via incremental distillation.

Unlearning of Knowledge Graph Embedding via Preference Optimization Towards continual knowledge graph embedding via incremental distillation

Reference 38

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This paper cites Knowledge graph embedding by translating on hyperplanes.

Unlearning of Knowledge Graph Embedding via Preference Optimization Knowledge graph embedding by translating on hyperplanes

Reference 39

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This paper cites Simple embedding for link prediction in knowledge graphs.

Unlearning of Knowledge Graph Embedding via Preference Optimization Simple embedding for link prediction in knowledge graphs

Reference 40

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This paper cites Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary.

Unlearning of Knowledge Graph Embedding via Preference Optimization Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary

Reference 41

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This paper cites Large Language Model Unlearning.

Unlearning of Knowledge Graph Embedding via Preference Optimization Large Language Model Unlearning

Reference 42

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Unlearning of Knowledge Graph Embedding via Preference Optimization Visualizing data using t-sne

Reference 43

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This paper cites Learning entity and relation embeddings for knowledge graph completion.

Unlearning of Knowledge Graph Embedding via Preference Optimization Learning entity and relation embeddings for knowledge graph completion

Reference 44

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This paper cites Mulde: Multi-teacher knowledge distillation for low-dimensional knowledge graph embeddings.

Unlearning of Knowledge Graph Embedding via Preference Optimization Mulde: Multi-teacher knowledge distillation for low-dimensional knowledge graph embeddings

Reference 45

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This paper cites Iterde: an iterative knowledge distillation framework for knowledge graph embeddings.

Unlearning of Knowledge Graph Embedding via Preference Optimization Iterde: an iterative knowledge distillation framework for knowledge graph embeddings

Reference 46

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Unlearning of Knowledge Graph Embedding via Preference Optimization Entity-agnostic representation learning for parameter-efficient knowledge graph embedding

Reference 47

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This paper cites Continual learning of knowledge graph embeddings.

Unlearning of Knowledge Graph Embedding via Preference Optimization Continual learning of knowledge graph embeddings

Reference 48

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This paper cites Lifelong embedding learning and transfer for growing knowledge graphs.

Unlearning of Knowledge Graph Embedding via Preference Optimization Lifelong embedding learning and transfer for growing knowledge graphs

Reference 49

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Observation ffdfeb4a-984c-4582-b499-6be11c03bd53 · outbound

This paper cites Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation.

Unlearning of Knowledge Graph Embedding via Preference Optimization Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation

Reference 50

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This paper cites Unlearning graph classifiers with limited data resources.

Unlearning of Knowledge Graph Embedding via Preference Optimization Unlearning graph classifiers with limited data resources

Reference 51

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This paper cites Graph unlearning with efficient partial retraining.

Unlearning of Knowledge Graph Embedding via Preference Optimization Graph unlearning with efficient partial retraining

Reference 52

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This paper cites Distill to delete: Unlearning in graph networks with knowledge distillation, 2024.

Unlearning of Knowledge Graph Embedding via Preference Optimization Distill to delete: Unlearning in graph networks with knowledge distillation, 2024

Reference 53

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Observation 17cbbd3f-3e34-4169-a709-8d750ec9ca1e · outbound

This paper cites Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

Unlearning of Knowledge Graph Embedding via Preference Optimization Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 54

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This paper cites Token- level direct preference optimization.

Unlearning of Knowledge Graph Embedding via Preference Optimization Token- level direct preference optimization

Reference 55

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This paper cites Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs.

Unlearning of Knowledge Graph Embedding via Preference Optimization Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

Reference 56

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Observation b20ece33-1060-44c1-82ad-60e45d15b2c4 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Unlearning of Knowledge Graph Embedding via Preference Optimization Pytorch: An imperative style, high-performance deep learning library

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:46:03.696469Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c31a404-e54a-44c3-a667-9515b28933f8 · outbound

This paper cites an unresolved cited work.

Unlearning of Knowledge Graph Embedding via Preference Optimization Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:46:03.680338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers