Project HOBBIT

[Axel Ngonga @NgongaAxel]

#Job: Open PhD position on #MachineLearning with multiple representations on knowledge graphs. Apply here: https://t.co/xUigu8amXD. Please retweet. #openscience #knowledgegraph @unipb

[ENEXA @enexa_eu]

We are live! Investigating and deploying human centred explanations for AI systems combining machine learning and knowledge graphs @unipb @UvA_Amsterdam @NCSR_Demokritos @DATEV @eusatcen @webLyzard

Funded by @HorizonEU. More:

https://t.co/dCQxdIOcCn

[DICE Research Group @DiceResearch]

The 21st International Semantic Web Conference is over 🥺 But the presentation videos are still online! 😃
https://t.co/mR4r8BTTHF

The talks of our group members are also available on YouTube:
https://t.co/JAU3QC53wk

#iswc2022 #iswc_conf #semanticWeb @iswc_conf (thread ...)

[Alexander Bigerl @AlexanderBigerl]

Happy to announce that our paper "Hashing the Hypertrie: Space- and Time-Efficient Indexing for SPARQL in Tensors" was accepted at @iswc_conf
22. Thx to the co-authors Charlotte Behning, @LixiCorrados, @saleem_muhamad, @NgongaAxel #iswc2022 #iswc_conf (T-*=#tentris=our system)

[DICE Research Group @DiceResearch]

I-AID: Identifying Actionable Information From Disaster-Related Tweets
Authors: @hamadazahera @RrichaJalota @MAhmedSherif @NgongaAxel
Published in IEEE Access @IEEEAccess
https://t.co/4Fb4JJoydx [4/4]

[Jens Lehmann @JLehmann82]

We are looking for top talents for our new project OpenGPT-X in which we aim to improve large neural language models and their usability for dialogue systems & question answering. Very large supercomputing facilities are available. You can apply here: https://t.co/3xcGEv1Opo

[Jens Lehmann @JLehmann82]

Recently, I got many questions about the role of neural language models in #AI (due to our new OpenGPT-X project) and decided to write a blog post on the topic: https://t.co/fmQOpTzbM5 #languagemodels #gpt3 #ArtificialIntelligence #OpenGPTX

[Axel Ngonga @NgongaAxel]

Open position (full professor in #machinelearning) @unipb . Check out the description at https://t.co/LX3aloQxiL

[Caglar Demir @_CaglarDemir]

Ante-Hoc Explainable #machinelearning on #KnowledeGraphs. We combine reinforcement learning with a novel refinement operator to accelerate #XAI. Check it out at https://t.co/nlJuLwUdUU @DiceResearch

[Axel Ngonga @NgongaAxel]

Two exciting fully funded PhD positions on explainable AI and multi-view learning @DiceResearch. Check out details here: https://t.co/jlYuqcUIXg and let me know if you have any questions #AI #KnowledgeGraphs #ML #OpenScience

[Axel Ngonga @NgongaAxel]

One of those papers one is rather well pleased with ... Go @_CaglarDemir

[Caglar Demir @_CaglarDemir]

Looking forward to presenting our work on Convolutional Complex KGE (https://t.co/nfw8UM2hzc).We provide an answer to Trouillon et al's final question on complex embeddings @eswc_conf Session #11 June 10th #eswc2021 #AI #KnowledgeGraph #MachineLearning
@DiceResearch @NgongaAxel

[Caglar Demir @_CaglarDemir]

In https://t.co/JoXy4KNrQ1, we (1) show that common benchmarks for knowledge graph embeddings and link prediction contain out-of-vocabulary entities and (2) provide improved datasets free of this limitation. Enjoy! #AI #KnowledgeGraph #MachineLearning @DiceResearch

[Axel Ngonga @NgongaAxel]

Looks like complex spaces enjoy a convolution to achieve better embeddings. Our approach ConEx achieves nice results on benchmarks with a comparatively small number of parameters. More at https://t.co/xDLPy5hr8w @_CaglarDemir #OpenScience #KnowledgeGraph #machinelearning

[Axel Ngonga @NgongaAxel]

Another pleasant news: Our paper on the verbalization of link specifications for the integration of #KnowledgeGraphs is now available at https://t.co/gpsBhaeOvo. Code: https://t.co/bIhTW0FZJS. This is a #OpenSource contribution to explainable #AI. More coming up. Enjoy.

[Axel Ngonga @NgongaAxel]

Need to link #KnowledgeGraphs? Our article on the #OpenSource link discovery framework LIMES (https://t.co/zSp8nSaDNG) is now available at https://t.co/Fy2JMNRKQE. With LIMES, we support #OpenScience on the integration of knowlege graphs @MAhmedSherif @kvndrsslr @mommi84

[SDA Research @SDA_Research]

Our paper “5* Knowledge Graph Embeddings with Projective Transformations” by Mojtaba Nayyeri, @SaVahdati, Can Aykul, @JLehmann82 is just presented at #AAAI2021! Join us at the conference or find all information in our blog post: https://t.co/3DHKhNmDWY

[SDA Research @SDA_Research]

We are very proud that our group leader @JLehmann82 was selected as Fellow for @ELLISforEurope in recognition of his achievements in AI research. He is the first researcher at @UniBonn and the second researcher at @Fraunhofer to receive this honour. #AI @FraunhoferIAIS

[Axel Ngonga @NgongaAxel]

Interesting in cardinality estimations (e.g., for query planning)? Check out our latest paper on the subject matter at https://t.co/7f3CPj6ORA. Congrats to @UQudus @saleem_muhamad and thanks to the reviewers and editor. #LinkedData #knowledgegraphs @knowgraphs @DiceResearch

[Diego Moussallem @DiegoMoussallem]

In case you missed my presentation at @iswc_conf #ISWC2020, you can find my slides at https://t.co/BJ0eaU3J9u and my presentation at https://t.co/b6wnAREpLI. We are running for the best student paper, check out our paper. @DiceResearch @DwaraknathG @thiagocasfer @NgongaAxel