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KeyNote 3 by Vikas Garg: Provably Powerful Temporal Graph Networks
Vikas Garg
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Vikas Garg (Aalto University/YaiYai Ltd)
More from the Same Authors
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2022 : Modular Flows: Differential Molecular Generation »
Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg -
2022 : Provably expressive temporal graph networks »
Amauri Souza · Diego Mesquita · Samuel Kaski · Vikas Garg -
2022 : Modular Flows: Differential Molecular Generation »
Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg -
2023 Poster: Compositional Sculpting of Iterative Generative Processes »
Timur Garipov · Sebastiaan De Peuter · Ge Yang · Vikas Garg · Samuel Kaski · Tommi Jaakkola -
2023 Poster: Going beyond persistent homology using persistent homology »
Johanna Immonen · Amauri Souza · Vikas Garg -
2023 Oral: Going beyond persistent homology using persistent homology »
Johanna Immonen · Amauri Souza · Vikas Garg -
2022 Spotlight: Are GANs overkill for NLP? »
David Alvarez-Melis · Vikas Garg · Adam Kalai -
2022 : Panel »
Vikas Garg · Pan Li · Srijan Kumar · Emanuele Rossi · Shenyang Huang -
2022 Poster: Modular Flows: Differential Molecular Generation »
Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg -
2022 Poster: Are GANs overkill for NLP? »
David Alvarez-Melis · Vikas Garg · Adam Kalai -
2022 Poster: Symmetry-induced Disentanglement on Graphs »
Giangiacomo Mercatali · Andre Freitas · Vikas Garg -
2022 Poster: Provably expressive temporal graph networks »
Amauri Souza · Diego Mesquita · Samuel Kaski · Vikas Garg -
2019 Poster: Solving graph compression via optimal transport »
Vikas Garg · Tommi Jaakkola -
2019 Poster: Generative Models for Graph-Based Protein Design »
John Ingraham · Vikas Garg · Regina Barzilay · Tommi Jaakkola -
2019 Poster: Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms »
Vikas Garg · Tamar Pichkhadze -
2018 Poster: Learning SMaLL Predictors »
Vikas Garg · Ofer Dekel · Lin Xiao -
2018 Poster: Supervising Unsupervised Learning »
Vikas Garg · Adam Kalai -
2018 Spotlight: Supervising Unsupervised Learning »
Vikas Garg · Adam Kalai -
2016 Poster: Learning Tree Structured Potential Games »
Vikas Garg · Tommi Jaakkola