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publications
The Simple Web-based Tool for Visualization and Sharing of Semantic Data and Ontologies
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FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand (Short Paper)
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Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems
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Demonstration of a Customizable Representation Model for Graph-Based Visualizations of Ontologies–GizMO
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Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework
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A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
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An Open Challenge for Inductive Link Prediction on Knowledge Graphs
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NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
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Neural-Symbolic Models for Logical Queries on Knowledge Graphs
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A Decade of Knowledge Graphs in Natural Language Processing: A Survey
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Inductive Logical Query Answering in Knowledge Graphs
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Long Range Graph Benchmark
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Recipe for a General, Powerful, Scalable Graph Transformer
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Approximate Answering of Graph Queries
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PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints
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TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
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talks
Knowledge Graphs and Conversational AI
An extended version of the AI Journey talk. Slides in PDF
Stanford CS 520 Lecture 1 Slides
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
Placing Knowledge Graphs in Graph ML
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
Message Passing for Hyper-Relational Knowledge Graphs
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
Complex Question Answering over Knowledge Graphs
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
Placing Knowledge Graphs in Graph ML
Gave a talk on how to place knowledge graphs into the ecosystem of Graph ML research, open challenges and theoretical problems. PDF Slides
Intro to Knowledge Graphs
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
Beyond Shallow Embeddings of Knowledge Graphs
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
Compositional Tokenization in Knowledge Graphs
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
NodePiece @ Netflix and Twitter
Delivered a few virtual talks about the NodePiece paper at Netflix (March 4th) and Twitter (March 16th). PDF Slides
Discovering New ML Applications on Knowledge Graphs
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
Inductive Graph Reasoning without Node Features
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
GraphGPS
Presented our recent GraphGPS paper at the LOG2 reading group together with Ladislav Rampášek. The recording is available on YouTube.
LoG 2022 Mila Meetup
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
Neural Graph Databases
Presented our recent work on Neural Graph Databases at the “Knowledge Graph and Semantic Computing” seminar series at UIUC.
Neural Graph Databases
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.
Towards Foundation Models for Graph Reasoning and AI4Science
Visited UCSD with the talk on foundation models for graph learning. Slides
Graph Foundation Models
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.
Foundation Models for Knowledge Graph Reasoning?
Gave a talk on Ultra at the LOGG reading group, recording is already available on YouTube. Thanks Hannes and Dominique for the invitation!
Neural Graph Reasoning
Gave a talk on neural graph reasoning, neural graph databases, and query answering with GNNs at Stardog.
Foundation Models for Knowledge Graph Reasoning: Is Inductive Reasoning Solved?
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!
Graph Foundation Models for Knowledge Graph Reasoning and Beyond
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