1/ Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation
2/ Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion
After more than one day flight, finally I am sitting in ISWC 2024 conference room in Baltimore. On this Friday, I will present two papers for my students (due to their visa difficulties).
@iswc_conf#ISWC2024
Recently, we have two very interesting DB works accepted:
1/ #VLDB2024 A blockchain system for clustered federated learning with peer-to-peer knowledge transfer
2/ #ICDE2024 Generating explanations to understand and repair embedding-based entity alignment
Issue 1 of Transactions on Graph Data & Knowledge (TGDK) published today: https://t.co/3qugJB5cqn. TGDK is a new Diamond OA (no fees for authors/readers) journal about graphs for data & knowledge published by @dagstuhl, supported by SWSA. More about TGDK: https://t.co/7PNXp9qUBq
Happy to share that we have two papers accepted in #ACL2023NLP (one in the main conference and one in the findings).
[main] Improving Continual Relation Extraction by Distinguishing Analogous Semantics
Recently, we have two very interesting works accepted:
1/ #SIGMOD2023 Deep active alignment of knowledge graph entities and schemata
2/ #ICML2023 What makes entities similar? A similarity flooding perspective for multi-sourced knowledge graph embeddings
I am very pleased to announce that our paper, Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, was accepted in
@TheWebConf#TheWebConf 2023 (#WWW2023)!
Glad to share our two works accepted in #cikm2022@cikm2022
1/ Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
2/ I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning
Preprints are available on arXiv.
This year we have three papers accepted in @iswc_conf#iswc2022. Stay tuned!
1/Enhancing document-level relation extraction by entity knowledge injection
2/Facing changes: Continual entity alignment for growing KGs
3/ฮผKG: A library for multi-source KG embeddings and applications
I am very pleased to announce that our paper, Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data, was accepted at @TheWebConf#TheWebConf2022#WWW2022 !.
I am very pleased to announce that our paper, Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction, was accepted at #EMNLP2021 main conference.
Stay tuned for the arXiv preprint and GitHub repo.
I am very pleased to announce that our paper, Knowing the No-match: Entity Alignment with Dangling Cases, was accepted at #ACL2021NLP main conference.
Stay tuned for the arXiv preprint and GitHub repo.
The #iswc2020 outstanding SPC member award in the research track goes to Birte Glimm and Laura Hollink; the outstanding PC member award goes to Sebastian Skritek! Congratulations to the awardees and honorable mentions and thanks to all PC members for their valuable service!
After a whole day waiting, finally, we got two good news from @emnlp2020#emnlp2020 Stay tuned for the arXiv preprints:
[1] Global-to-Local Neural Networks for Document-Level Relation Extraction
[2] Knowledge Association with Hyperbolic Knowledge Graph Embeddings
I am very pleased to announce that our paper, Rule-guided graph neural networks for recommender systems, was accepted at ISWC2020 research track. @iswc2020@iswc_conf
@micheldumontier@amrapaliz So so sad to hear this. As one of her co-authors, she was very hard working and had a very bright future.
(I don't often log in Twitter).
๐ This is a great work done recently. Please visit https://t.co/9sUQ6iSbap for new benchmark datasets, open-source entity alignment Python library, and plenty of experimental results.