I believe that proper and timely communication and dissemination of research results is equally important to conducting core research activities. Hence, I am highly active as a communicator—organising conferences and workshops, giving invited talks at various venues (both for research audiences and the general public), writing blog posts and tutorials, and participating in webinars.

Researching a result is not nearly as valuable without appropriately communicating it, and empowering others to effectively make use of it.

In line with this, I am very happy to receive invitations for talks, podcasts, event co-organising, and generally any mode of communicating which is listed below. Please see my contact page if you have such an offer!

Conferences

Learning on Graphs (LoG) (Advisory Board Member)
Thirty-ninth International Conference on Machine Learning (ICML 2022) (Financial Chair)

Workshops

Neuro Causal and Symbolic AI (NCSI) Workshop at NeurIPS 2022
Serbian Machine Learning Workshop (SMLW), part of the EEML Workshop Series (lead organiser)
Graph Neural Networks and Systems (GNNSys) Workshop at MLSys 2021
Graph Representation Learning and Beyond (GRL+) Workshop at ICML 2020 (lead organiser)
Graph Representation Learning (GRL) Workshop at NeurIPS 2019
Representation Learning on Graphs and Manifolds (RLGM) Workshop at ICLR 2019

Tutorials

Neural Algorithmic Reasoning Tutorial at LoG 2022
Graph Machine Learning for Visual Computing (GML4VC) Tutorial at CVPR 2022

Talks

Type-checking graph neural networks. LOGML Summer School, 13 July 2022. London Geometry and Machine Learning
Augmenting Human Intuition with AI. Machine Intelligence Meets Human Creativity, 15 June 2022. Pi Campus
Also presented at the following venues:
- Data Science PhD Graduation Ceremony, 6 June 2022. Sapienza Università di Roma
- EuroCC Montenegro Seminar, 24 June 2022. Univerzitet Donja Gorica
Graph Neural Networks: Geometric, Structural and Algorithmic Perspectives. School on Theory and Applications of Deep Learning, 13 June 2022. Sapienza Università di Roma
Also presented at the Cambridge ELLIS Machine Learning Summer School, 14 July 2022. Department of Computer Science and Technology, University of Cambridge
Enabling Empirically and Theoretically Sound Algorithmic Alignment. Imperial Computing Conference, 29 April 2022. Imperial College London
Also presented at the following venues:
- Learning to Discover Workshop on Representation Learning over Heterogeneous / Graph Data, 20 April 2022. Institut Pascal, Université Paris-Saclay
- ICLR 2022 Workshop on Anchoring Machine Learning in Classical Algorithmic Theory, 29 April 2022. Tenth International Conference on Learning Representations
- Extrality Seminar, 24 May 2022. Extrality
- Stanford Graph ML/GNN Reading Group, 12 July 2022. Stanford University
Neuralising Algorithms. Fully Connected, 25 April 2022. Department of Computer Science and Technology, University of Cambridge
Graph Neural Networks are Dynamic Programmers. DEGAS Webinar Series, 14 April 2022. IEEE Signal Processing Society
Also presented at the Dagstuhl Seminar “Graph Embeddings: Theory meets Practice”, 29 March 2022. Schloss Dagstuhl
Scientific tool of the 21st century: Introduction to Graph Neural Networks. Cambridge AI in Drug Discovery Conference, 26 February 2022. 1st Cambridge AI in Drug Discovery Conference
AI x Mathematics. Computer Laboratory Wednesday Seminar, 23 February 2022. Department of Computer Science and Technology, University of Cambridge
Also presented at the following venues:
- NeurIPS 2021 Workshop on AI for Science: Mind the Gaps, 13 December 2021. Thirty-fifth Conference on Neural Information Processing Systems
- G-Research ML College Seminar Series, 24 February 2022. G-Research
- AI Research Group Seminar, 2 March 2022. Mathematical Institute of the Serbian Academy of Sciences and Arts
- AIM Seminar Series, 4 May 2022. Istituto per le Applicazioni del Calcolo “Mauro Picone”
- MIT Graph Exploitation Symposium, 17 May 2022. MIT Lincoln Laboratory
- Quantum Natural Language Processing Conference, 31 May 2022. St Aldate’s Church, Oxford
- LANS Seminar Series, 6 July 2022. Argonne National Laboratory
Amazing things that happen with Human-AI synergy. TEDxCambridgeUniversity, 1 February 2022. Magdalene College, University of Cambridge
Everything is Connected: Deep Learning on Graphs. MLinPL x CUAI Cambridge Pre-meeting, 30 October 2021. The Cambridge Union
Also presented at mlcon 2.0, 22 February 2022. cnvrg.io
Neuralising a Computer Scientist: The Story So Far. Mila Graph Representation Learning Reading Group, 28 October 2021. Mila
Also presented at the Neurosym webinar series, 28 September 2021. Massachusetts Institute of Technology
Neural Algorithmic Reasoning. The Sixth International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD’21), 15 August 2021. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Also presented at the Invenia Labs Seminar, 14 July 2021. Invenia Labs
Everything is Connected: Graph Neural Networks from the Ground Up. EEML Lecture, 12 July 2021. Eastern European Machine Learning Summer School 2021
Also presented at the following venues:
- PSI:ML 2021, 5 August 2021. Petnica Summer Institute in Machine Learning
- MSV Incognito Research & Indistry Spotlight, 10 February 2022. Maastricht University
- Tesco Research Innovation Seminar, 18 February 2022. Tesco
Neural Algorithmic Sketching. The 1st Workshop on Sketch-Oriented Deep Learning (SketchDL), 19 June 2021. The 2021 IEEE Conference on Computer Vision and Pattern Recognition
Geometric Deep Learning: Grids, Graphs, Groups, Geodesics, and Gauges. Beyond the Patterns, 28 April 2021. Friedrich-Alexander Universität Erlangen-Nürnberg
Also presented at the following venues:
- Serbian AI Seminar, 28 April 2021. Mathematical Institute of the Serbian Academy of Sciences and Arts
- COMSC School Seminar, 12 May 2021. Cardiff University
- AI Research Group Seminar, 18 May 2021. Department of Computer Science and Technology, University of Cambridge
- IBM Research Virtual Talks, 15 June 2021. IBM
- ML/Duolingo Seminar, 29 June 2021. Carnegie Mellon University
- Facebook AI ML Talk, 30 June 2021. Facebook AI
- One World Seminar on the Mathematics of Machine Learning, 21 July 2021. University of Manchester
- Warwick AI Speaker Series, 28 February 2022. University of Warwick
- Illinois Computer Science Speaker Series, 21 March 2022. University of Illinois Urbana-Champaign
Graph Neural Networks in Computational Biology (a Personal Perspective). Imperial College Computational Biology Society Seminar, 19 April 2021. Imperial College London
Also presented at the following venues:
- AstraZeneca Seminar Series, 18 March 2022. AstraZeneca
- CCAIM Seminar Series, 13 April 2022. Cambridge Centre for AI in Medicine
A Tale of Three Implicit Planners and the XLVIN Agent. DeepMind/ELLIS CSML Seminar Series, 12 March 2021. University College London
Also presented at the following venues:
- NAVER LABS Europe Seminar, 25 March 2021. NAVER LABS Europe
- DataLearning Working Group Seminar, 4 May 2021. Imperial College London
Reasoning on Natural Inputs. IPAM Workshop on Deep Learning and Combinatorial Optimization, 23 February 2021. Institute for Pure and Applied Mathematics, UCLA
Theoretical Foundations of Graph Neural Networks. Computer Laboratory Wednesday Seminar, 17 February 2021. Department of Computer Science and Technology, University of Cambridge
Also presented at the following venues:
- IQ Capital Tech Talks, 15 April 2021. IQ Capital
- Vinted Tech Talks, 21 April 2021. Vinted
Algorithmic Reasoning in the Real World. NeurIPS 2020 Workshop on Learning Meets Combinatorial Algorithms (LMCA), 12 December 2020. Thirty-fourth Conference on Neural Information Processing Systems
Algorithmic Inductive Biases. The Second International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD’20), 24 August 2020. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Also presented at the Mila Tea Talk Series, 3 July 2020. Mila
Applying Graph Neural Networks at the Bleeding Edge. EEML Focused Lecture, 7 July 2020. Eastern European Machine Learning Summer School 2020
Also presented at the following venues:
- DSC Europe 2020, 17 November 2020. Data Science Conference
- ICIST 2021, 9 March 2021. International Conference for Information Society and Technologies
Graph Representation Learning for Algorithmic Reasoning. The Fifth International Workshop on Deep Learning on Graphs (DL4G@WWW2020), 21 April 2020. The Web Conference 2020
Graph Neural Networks for Modeling Small Molecules (with Thomas Kipf and Yujia Li). Small Organic Molecules Workshop, 24 March 2020. Department of Statistics, University of Oxford
Unsupervised Learning with Graph Neural Networks. ACDL 2019 Satellite Workshop on Graph Neural Networks, 22 July 2019. SAILab, Università degli Studi di Siena
Adversarial learning meets graphs (and why should you care?). University of Oxford Cyber Physical Systems Seminars, 8 January 2019. Department of Computer Science, University of Oxford
Also presented at the Mila Adversarial Learning Group Meeting, 25 September 2018. Mila
Relational Learning. Mila Graph Representation Learning Group Meeting, 22 August 2018. Mila
Keeping our graphs attentive. MILA Tea Talk Series, 3 August 2018. Mila
Also presented (occasionally as “Towards practical convolutional neural networks on graphs”) at the following venues:
- Microsoft Research Montréal Seminar, 28 September 2018. Microsoft Research Montréal
- Cambridge Computational Biology Institute Annual Symposium, 16 May 2018. Centre for Mathematical Sciences, University of Cambridge
- Randomized Algorithms Reading Group Meeting, 7 May 2018. Computer Laboratory, University of Cambridge
- Amsterdam Machine Learning Lab Seminar, 10 April 2018. Universiteit van Amsterdam
- Trinity Mathematical Society Symposium, 26 February 2018. Winstanley Lecture Theatre, Trinity College, Cambridge
Neural Relational Inference for Interacting Systems. MILA Graph Representation Group Meeting, 25 July 2018. Mila
Generative Adversarial Networks. Pint of Science Cambridge: I think, therefore AI, 15 May 2018. The Panton Arms, Cambridge
Overview of neural network architectures for graph-structured data analysis. UCL AI Journal Club, 19 February 2018. University College London
Also presented at the Computational Biology Group Meeting, 21 November 2017. Department of Computer Science and Technology, University of Cambridge
Demystifying deep learning. London Data Science Summit, 20 October 2017. Royal Statistical Society
Also presented at the DIAL Seminar Series, 17 May 2017. Institute for Manufacturing, University of Cambridge
How to get a neural network to do what you want: Loss function engineering. Trinity College Engineering Society Talk Series, 3 March 2017. Winstanley Lecture Theatre, Trinity College, Cambridge
How to Win a Hackathon. Hackers at Cambridge Events, 2 March 2017. Computer Laboratory, University of Cambridge
Reinforcement learning fundamentals. Nokia Tech Talk Series, 11 October 2016. Nokia Technologies Cambridge
Exploring large-scale reinforcement learning tasks? Exploit deep learning.. Cambridge Coding Academy Evening Tech Talk Series, 20 September 2016. Google Campus London
AlphaGo: Superhuman artificial intelligence in exponentially growing spaces. Cambridge Coding Academy Evening Tech Talk Series, 25 August 2016. THECUBE London
How to make a (GameBoy) emulator?. Cambridge Coding Academy Summer School, 13 July 2016. Computer Laboratory, University of Cambridge

News Articles

Intelligenza artificiale, il booster per le scoperte dei matematici, 4 July 2022. la Repubblica
Researchers Build AI That Builds AI, 25 January 2022. Quanta Magazine
DeepMind is developing one algorithm to rule them all, 12 October 2021. VentureBeat
DeepMind aims to marry deep learning and classic algorithms, 10 September 2021. VentureBeat
How Knowledge Graphs Will Transform Data Management And Business, 14 December 2020. The Innovator

Blog

TV Shows, Podcasts and Webinars

Building Google Maps’ Algorithm & AI Research at Google DeepMind, 4 July 2023. Powered by The What’s AI Podcast.
Uncovering the Mysteries of Category Theory!, 10 April 2023. Powered by Machine Learning Street Talk.
Leetcode Challenge with DeepMind and Mila Scientists!, 1 March 2023. Powered by Machine Learning Street Talk.
Oko: Petar Veličković, naučnik koji uči kompjutere da misle kao ljudi, 11 January 2023. Powered by Radio Televizija Srbije.
Podcast: dr Petar Veličković, 2 January 2023. Powered by Stefan Spalević.
Categories, Graphs, Reasoning, 9 December 2022. Powered by Machine Learning Street Talk.
Beograd, Cambridge, DeepMind, 2 December 2022. Powered by Podkist.
70% Svega što radite ima veze sa Veštačkom Inteligencijom, 18 July 2022. Powered by Ibex Podcast.
Build your own GNN-powered drug screening predictor, in 1h (or less!), 8 May 2022. Powered by EEML.
Geometric Deep Learning Blueprint, 19 September 2021. Powered by Machine Learning Street Talk
Introduction to Graph Neural Networks, 17 June 2021. Powered by TensorFlow and X, the moonshot factory
Day in the life of a DeepMind Research Scientist, 15 May 2021. Powered by Open IT
CV Naučnika, 1 November 2020. Powered by Brainz TV.
Principal Neighbourhood Aggregation for Graph Nets, 2 September 2020. Powered by Aggregate Intellect
Talking Minds #1, 28 May 2020. Powered by Serbian AI Society

Communicating