Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Mikhail Galkin

Mikhail Galkin
Alert button

Attending to Graph Transformers


Feb 08, 2023
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampášek

Add code
Alert button

Figure 1 for Attending to Graph Transformers
Figure 2 for Attending to Graph Transformers
Figure 3 for Attending to Graph Transformers

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Weisfeiler and Leman Go Relational


Nov 30, 2022
Pablo Barcelo, Mikhail Galkin, Christopher Morris, Miguel Romero Orth

Add code
Alert button

Figure 1 for Weisfeiler and Leman Go Relational
Figure 2 for Weisfeiler and Leman Go Relational
Figure 3 for Weisfeiler and Leman Go Relational
Figure 4 for Weisfeiler and Leman Go Relational
* Learning on Graphs Conference 2022. arXiv admin note: text overlap with arXiv:2206.11168 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Inductive Logical Query Answering in Knowledge Graphs


Oct 13, 2022
Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang

Add code
Alert button

Figure 1 for Inductive Logical Query Answering in Knowledge Graphs
Figure 2 for Inductive Logical Query Answering in Knowledge Graphs
Figure 3 for Inductive Logical Query Answering in Knowledge Graphs
Figure 4 for Inductive Logical Query Answering in Knowledge Graphs
* Accepted at NeurIPS 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Decade of Knowledge Graphs in Natural Language Processing: A Survey


Sep 30, 2022
Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes

Add code
Alert button

Figure 1 for A Decade of Knowledge Graphs in Natural Language Processing: A Survey
Figure 2 for A Decade of Knowledge Graphs in Natural Language Processing: A Survey
Figure 3 for A Decade of Knowledge Graphs in Natural Language Processing: A Survey
Figure 4 for A Decade of Knowledge Graphs in Natural Language Processing: A Survey
* Accepted to AACL-IJCNLP 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Long Range Graph Benchmark


Jun 16, 2022
Vijay Prakash Dwivedi, Ladislav Rampášek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini

Add code
Alert button

Figure 1 for Long Range Graph Benchmark
Figure 2 for Long Range Graph Benchmark
Figure 3 for Long Range Graph Benchmark
Figure 4 for Long Range Graph Benchmark
* The benchmark is open-sourced at: https://github.com/vijaydwivedi75/lrgb 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Recipe for a General, Powerful, Scalable Graph Transformer


May 25, 2022
Ladislav Rampášek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini

Add code
Alert button

Figure 1 for Recipe for a General, Powerful, Scalable Graph Transformer
Figure 2 for Recipe for a General, Powerful, Scalable Graph Transformer
Figure 3 for Recipe for a General, Powerful, Scalable Graph Transformer
Figure 4 for Recipe for a General, Powerful, Scalable Graph Transformer

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Neural-Symbolic Models for Logical Queries on Knowledge Graphs


May 16, 2022
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang

Add code
Alert button

Figure 1 for Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Figure 2 for Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Figure 3 for Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Figure 4 for Neural-Symbolic Models for Logical Queries on Knowledge Graphs
* ICML 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

An Open Challenge for Inductive Link Prediction on Knowledge Graphs


Mar 03, 2022
Mikhail Galkin, Max Berrendorf, Charles Tapley Hoyt

Add code
Alert button

Figure 1 for An Open Challenge for Inductive Link Prediction on Knowledge Graphs
Figure 2 for An Open Challenge for Inductive Link Prediction on Knowledge Graphs
Figure 3 for An Open Challenge for Inductive Link Prediction on Knowledge Graphs
Figure 4 for An Open Challenge for Inductive Link Prediction on Knowledge Graphs
* 4 pages 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application


Aug 21, 2021
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev

Add code
Alert button

Figure 1 for Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
Figure 2 for Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
Figure 3 for Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
Figure 4 for Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Improving Inductive Link Prediction Using Hyper-Relational Facts


Jul 10, 2021
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

Add code
Alert button

Figure 1 for Improving Inductive Link Prediction Using Hyper-Relational Facts
Figure 2 for Improving Inductive Link Prediction Using Hyper-Relational Facts
Figure 3 for Improving Inductive Link Prediction Using Hyper-Relational Facts
Figure 4 for Improving Inductive Link Prediction Using Hyper-Relational Facts

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>