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Thomas Markovich
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 11
Top Topics
Knn
Top Venues
CoRR
AdKDD@KDD
KDD
ICLR
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Publications
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Benjamin Paul Chamberlain
,
Sergey Shirobokov
,
Emanuele Rossi
,
Fabrizio Frasca
,
Thomas Markovich
,
Nils Yannick Hammerla
,
Michael M. Bronstein
,
Max Hansmire
Graph Neural Networks for Link Prediction with Subgraph Sketching.
ICLR
(2023)
Ahmed El-Kishky
,
Thomas Markovich
,
Kenny Leung
,
Frank Portman
,
Aria Haghighi
,
Ying Xiao
bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval.
PAKDD (3)
(2023)
Thomas Markovich
QDC: Quantum Diffusion Convolution Kernels on Graphs.
CoRR
(2023)
Vanessa Cai
,
Pradeep Prabakar
,
Manuel Serrano Rebuelta
,
Lucas Rosen
,
Federico Monti
,
Katarzyna Janocha
,
Tomo Lazovich
,
Jeetu Raj
,
Yedendra Shrinivasan
,
Hao Li
,
Thomas Markovich
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter.
AdKDD@KDD
(2023)
Vanessa Cai
,
Pradeep Prabakar
,
Manuel Serrano Rebuelta
,
Lucas Rosen
,
Federico Monti
,
Katarzyna Janocha
,
Tomo Lazovich
,
Jeetu Raj
,
Yedendra Shrinivasan
,
Hao Li
,
Thomas Markovich
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter.
CoRR
(2023)
Ahmed El-Kishky
,
Thomas Markovich
,
Serim Park
,
Chetan Verma
,
Baekjin Kim
,
Ramy Eskander
,
Yury Malkov
,
Frank Portman
,
Sofía Samaniego
,
Ying Xiao
,
Aria Haghighi
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation.
CoRR
(2022)
Ahmed El-Kishky
,
Thomas Markovich
,
Serim Park
,
Chetan Verma
,
Baekjin Kim
,
Ramy Eskander
,
Yury Malkov
,
Frank Portman
,
Sofía Samaniego
,
Ying Xiao
,
Aria Haghighi
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation.
KDD
(2022)
Alexander P. Wu
,
Thomas Markovich
,
Bonnie Berger
,
Nils Hammerla
,
Rohit Singh
Causally-guided Regularization of Graph Attention Improves Generalizability.
CoRR
(2022)
Francesco Di Giovanni
,
James Rowbottom
,
Benjamin Paul Chamberlain
,
Thomas Markovich
,
Michael M. Bronstein
Graph Neural Networks as Gradient Flows.
CoRR
(2022)
Ahmed El-Kishky
,
Thomas Markovich
,
Kenny Leung
,
Frank Portman
,
Aria Haghighi
,
Ying Xiao
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval.
CoRR
(2022)
Benjamin Paul Chamberlain
,
Sergey Shirobokov
,
Emanuele Rossi
,
Fabrizio Frasca
,
Thomas Markovich
,
Nils Hammerla
,
Michael M. Bronstein
,
Max Hansmire
Graph Neural Networks for Link Prediction with Subgraph Sketching.
CoRR
(2022)