Talk, National University of Singapore, Singapore
Visited the group of professor Xavier Bresson at the National University of Singapore with the talk on graph foundation models - from KG reasoning to AI 4 Science. Slides
Talk, Universidad San Sebastian, Santiago, Chile
It was a delightful experience to participate in the week-long workshop on GNNs and neuro-symbolic AI (FANeSy) organized by Pablo Barcelo, CENIA, and Unversidad San Sebastian. Thanks Pablo for the invitation!
Talk, Online, Online
Gave a talk on neural graph reasoning, neural graph databases, and query answering with GNNs at Stardog.
Talk, Learning on Graphs and Geometry Reading Group, Online
Gave a talk on Ultra at the LOGG reading group, recording is already available on YouTube. Thanks Hannes and Dominique for the invitation!
Talk, Dagstuhl Seminar, Dagstuhl, Germany
I was glad to participate in the Dagstuhl seminar on Scalable Graph Mining and Learning in snowy December Dagstuhl together with many other prominent Graph ML researchers and presenting the recent work on graph foundation models.
Talk, UC San Diego, La Jolla, San Diego
Visited UCSD with the talk on foundation models for graph learning. Slides
Talk, online,
Presented our recent work on Neural Graph Databases at the NLP seminar at UKRI Centre for Doctoral Training in Natural Language Processing at the University of Edinburgh.
Talk, online,
Presented our recent work on Neural Graph Databases at the “Knowledge Graph and Semantic Computing” seminar series at UIUC.
Talk, Mila, Montreal
Presented a handful of papers from our group at Mila (accepted to LoG and NeurIPS’22) at the local meetup of the Learning on Graphs Conference. Slides
Talk, LOG2 Reading Group, virtual
Presented our recent GraphGPS paper at the LOG2 reading group together with Ladislav Rampášek. The recording is available on YouTube.
Talk, BIRS, Kelowna, BC, Canada
Delivered an in-person talk at the Topology & Geometry Workshop at Banff International Research Station (BIRS) in beautiful Kelowna, BC, Canada! The talk covered our ICLR’22 and NeurIPS’22 papers. PDF Slides
Talk, Bosch, Virtual
Delivered a virtual talk at Bosch (April 12th) on discovering new Graph ML applications over KGs going beyond transductive link prediction at Netflix. PDF Slides
Talk, Twitter, Netflix, Virtual
Delivered a few virtual talks about the NodePiece paper at Netflix (March 4th) and Twitter (March 16th). PDF Slides
Talk, VU Amsterdam & Moscow NLP workshop, Virtual
A collection of talks under the main umbrella idea - can we design a uniform node representation mechanism for representation learning on KGs suitable for both transductive and inductive tasks? Covering a lot of intuition from our NodePiece paper. PDF Slides
Talk, AI Journey 2021, Virtual
A new talk covering the challenges of KG representation learning when it comes to inductive tasks and featurizing nodes unseen during training time. PDF Slides
Lecture, McGill COMP 599, McGill
Had a pleasure presenting the introduction to knowledge graphs to the students of the COMP 599 Network Science course at McGill in the Autumn semester 2021. Thanks Prof. Reihaney Rabbany for inviting me! PDF Slides
Talk, ODS DataFest 2021, Virtual
Gave a talk on how to place knowledge graphs into the ecosystem of Graph ML research, open challenges and theoretical problems. PDF Slides
Lecture, AI Journey 2020, Virtual
I conducted several lectures at different venues (e.g., AI Journey 2020 and others) on Complex KGQA using shorter or longer versions of this deck. PDF Slides
Paper presentation, EMNLP 2020, Virtual Punta Cana
Here is the recorded presentation of our EMNLP 2020 paper on designing GNNs for more complex graph structures such as hyper-relational KGs like Wikidata. Slideslive Video and PDF Slides
Talk, ODS Data Fest, Virtual
I gave a talk at the annual Data Fest organized by the Open Data Science community where my main focus was placing KGs into the Graph ML field. We discussed how KGs differ from traditional graphs and what are some interesting open problems combining GNNs and KGs. YouTube and Slides
Lecture, Stanford University, Virtual
I had a privilege giving a talk at the kick-off Lecture 1 of the CS 520 Stanford seminar on Knowledge Graphs. The topic of L1 was ‘What is a Knowledge Graph’ where I approached definitions of a KG from multiple perspectives. Slides in PDF
Talk, Moscow NLP Seminar, Moscow, Russia
An extended version of the AI Journey talk. Slides in PDF
Talk, AI Journey 2019, Moscow, Russia
Talk, AI Talk 2019, Berlin, Germany
Talk, Leipziger Semantic Web Tag (LSWT 2019), Leipzig, Germany