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2PreAdapter: Pre-training Language Models on Knowledge Graphs
J. Omeliyanenko, A. Hotho, and D. Schlör. International Semantic Web Conference ISWC 2024, to appear, (2024)
a day ago by @dmir
show all tags
lm
author:omeliyanenko
myown
app_nlp
author:schloer
research_knowledge
embedding
research_llm
kg
author:hotho
graph
selected
from:jannaom
lmauthor:omeliyanenkomyownapp_nlpauthor:schloerresearch_knowledgeembeddingresearch_llmkgauthor:hothographselectedfrom:jannaom
(0)
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2PreAdapter: Pre-training Language Models on Knowledge Graphs
J. Omeliyanenko, A. Hotho, and D. Schlör. International Semantic Web Conference ISWC 2024, to appear, (2024)
3 days ago by @jannaom
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app_nlp
author:hotho
author:omeliyanenko
author:schloer
embedding
graph
kg
lm
myown
research_knowledge
research_llm
selected
app_nlpauthor:hothoauthor:omeliyanenkoauthor:schloerembeddinggraphkglmmyownresearch_knowledgeresearch_llmselected
(0)
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2Knowledge graph contrastive learning for recommendation
Y. Yang, C. Huang, L. Xia, and C. Li. Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval, page 1434--1443. (2022)
4 months ago by @jannaom
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contrastive
graph
kg
knowledge
learning
recommendation
contrastivegraphkgknowledgelearningrecommendation
(0)
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2Large Language Models and Knowledge Graphs: Opportunities and Challenges
J. Pan, S. Razniewski, J. Kalo, S. Singhania, J. Chen, S. Dietze, H. Jabeen, J. Omeliyanenko, W. Zhang, M. Lissandrini and 6 other author(s). Transactions on Graph Data and Knowledge, 1 (1): 2:1--2:38 (2023)
10 months ago by @dmir
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myown
app_nlp
large
language
research_knowledge
research_llm
llm
graph
model
kg
knowledge
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author:omeliyanenkomyownapp_nlplargelanguageresearch_knowledgeresearch_llmllmgraphmodelkgknowledgeselectedfrom:jannaom
(0)
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2Large Language Models and Knowledge Graphs: Opportunities and Challenges
J. Pan, S. Razniewski, J. Kalo, S. Singhania, J. Chen, S. Dietze, H. Jabeen, J. Omeliyanenko, W. Zhang, M. Lissandrini and 6 other author(s). Transactions on Graph Data and Knowledge, 1 (1): 2:1--2:38 (2023)
10 months ago by @jannaom
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app_nlp
author:omeliyanenko
graph
kg
knowledge
language
large
llm
model
myown
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selected
app_nlpauthor:omeliyanenkographkgknowledgelanguagelargellmmodelmyownresearch_knowledgeresearch_llmselected
(0)
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6CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion
J. Omeliyanenko, A. Zehe, A. Hotho, and D. Schlör. International Semantic Web Conference ISWC 2023, to appear, (2023)
a year ago by @hotho
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2023
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graph
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lm
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2023embeddingfrom:jannaomgraphkglmmyown
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6CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion
J. Omeliyanenko, A. Zehe, A. Hotho, and D. Schlör. International Semantic Web Conference ISWC 2023, to appear, (2023)
a year ago by @dmir
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app_nlp
author:schloer
author:zehe
embedding
from:jannaom
graph
kg
lm
myown
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app_nlpauthor:schloerauthor:zeheembeddingfrom:jannaomgraphkglmmyownresearch_knowledgeresearch_llm
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6CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion
J. Omeliyanenko, A. Zehe, A. Hotho, and D. Schlör. International Semantic Web Conference ISWC 2023, (2023)
a year ago by @jannaom
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app_nlp
author:hotho
author:omeliyanenko
author:schloer
author:zehe
embedding
graph
kg
lm
myown
research_knowledge
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selected
app_nlpauthor:hothoauthor:omeliyanenkoauthor:schloerauthor:zeheembeddinggraphkglmmyownresearch_knowledgeresearch_llmselected
(0)
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2A Survey on Knowledge Graph-Based Recommender Systems.
Q. Guo, F. Zhuang, C. Qin, H. Zhu, X. Xie, H. Xiong, and Q. He. CoRR, (2020)
a year ago by @jannaom
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Recommender
Systems
graph
kg
knowledge
RecommenderSystemsgraphkgknowledge
(0)
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2Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding
X. Liu, T. Zhu, H. Tan, and R. Zhang. The Semantic Web--ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23--27, 2022, Proceedings, page 284--302. Springer, (2022)
2 years ago by @jannaom
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gcnns
graph
kg
embeddinggcnnsgraphkg
(0)
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3Dictbert: Dictionary description knowledge enhanced language model pre-training via contrastive learning
Q. Chen, F. Li, G. Xu, M. Yan, J. Zhang, and Y. Zhang. arXiv preprint arXiv:2208.00635, (2022)
2 years ago by @jannaom
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dictionary
embedding
graph
kg
dictionaryembeddinggraphkg
(0)
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1Similarity-based Link Prediction from Modular Compression of Network Flows
C. Blöcker, J. Smiljanić, I. Scholtes, and M. Rosvall. arXiv preprint arXiv:2208.14220, (2022)
2 years ago by @jannaom
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graph
kg
link
prediction
similarity
graphkglinkpredictionsimilarity
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15Inductive Representation Learning on Large Graphs
W. Hamilton, Z. Ying, and J. Leskovec. Advances in Neural Information Processing Systems, page 11. (2017)
3 years ago by @jannaom
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GCN
embedding
graph
kg
large
sampling
GCNembeddinggraphkglargesampling
(1)
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12Modeling Relational Data with Graph Convolutional Networks.
M. Schlichtkrull, T. Kipf, P. Bloem, R. van den Berg, I. Titov, and M. Welling. ESWC, volume 10843 of Lecture Notes in Computer Science, page 593-607. Springer, (2018)
3 years ago by @uw_ws21_ml
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data
embedding
from:jannaom
gcn
graph
kg
knowledge
relational
reserved
thema
thema:R_GCN
thema:ma
dataembeddingfrom:jannaomgcngraphkgknowledgerelationalreservedthemathema:R_GCNthema:ma
(0)
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3Hypergraph Neural Networks.
Y. Feng, H. You, Z. Zhang, R. Ji, and Y. Gao. AAAI, page 3558-3565. AAAI Press, (2019)
3 years ago by @uw_ws21_ml
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from:jannaom
graph
hypergraph
hypergraph_neural_networks
kg
knowledge
reserved
thema
thema:hypergraph_neural_networks
thema:ma
from:jannaomgraphhypergraphhypergraph_neural_networkskgknowledgereservedthemathema:hypergraph_neural_networksthema:ma
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3Hypergraph Neural Networks.
Y. Feng, H. You, Z. Zhang, R. Ji, and Y. Gao. AAAI, page 3558-3565. AAAI Press, (2019)
3 years ago by @jannaom
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graph
hypergraph
hypergraph_neural_networks
kg
knowledge
thema
thema:hypergraph_neural_networks
thema:ma
graphhypergraphhypergraph_neural_networkskgknowledgethemathema:hypergraph_neural_networksthema:ma
(0)
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3Commonsense Knowledge Base Completion with Structural and Semantic Context
C. Malaviya, C. Bhagavatula, A. Bosselut, and Y. Choi. Proceedings of AAAI, (2020)
3 years ago by @jannaom
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graph
kg
knowledge
language
model
graphkgknowledgelanguagemodel
(0)
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3Cognitive Graph for Multi-Hop Reading Comprehension at Scale.
M. Ding, C. Zhou, Q. Chen, H. Yang, and J. Tang. CoRR, (2019)
3 years ago by @jannaom
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answering
bert
graph
kg
knowledge
language
model
quaternion
answeringbertgraphkgknowledgelanguagemodelquaternion
(0)
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5RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.
Z. Sun, Z. Deng, J. Nie, and J. Tang. CoRR, (2019)
4 years ago by @uw_ss21_ml
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thema:ba
embeddings
complex
available
from:jannaom
graph
vectors
thema
thema:kg_embeddings
kg
knowledge
thema:baembeddingscomplexavailablefrom:jannaomgraphvectorsthemathema:kg_embeddingskgknowledge
(0)
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4KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.
X. Wang, T. Gao, Z. Zhu, Z. Liu, J. Li, and J. Tang. CoRR, (2019)
4 years ago by @uw_ss21_ml
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embedding
from:jannaom
graph
kg
knowledge
language
lm
model
reserved
thema
thema:ba
thema:kg_and_lm
embeddingfrom:jannaomgraphkgknowledgelanguagelmmodelreservedthemathema:bathema:kg_and_lm
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1TGRAPH: Transactions on Graph Data and Knowledge

1Knowledge Graphs @ ICLR 2020.

publications (hide)43
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2PreAdapter: Pre-training Language Models on Knowledge Graphs

2PreAdapter: Pre-training Language Models on Knowledge Graphs

2Knowledge graph contrastive learning for recommendation

2Large Language Models and Knowledge Graphs: Opportunities and Challenges

2Large Language Models and Knowledge Graphs: Opportunities and Challenges

6CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion

6CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion

6CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion

2A Survey on Knowledge Graph-Based Recommender Systems.

2Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding

3Dictbert: Dictionary description knowledge enhanced language model pre-training via contrastive learning

1Similarity-based Link Prediction from Modular Compression of Network Flows

15Inductive Representation Learning on Large Graphs

12Modeling Relational Data with Graph Convolutional Networks.

3Hypergraph Neural Networks.

3Hypergraph Neural Networks.

3Commonsense Knowledge Base Completion with Structural and Semantic Context

3Cognitive Graph for Multi-Hop Reading Comprehension at Scale.

5RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

4KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.

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