Risi Kondor

Risi Kondor

University of Chicago

H-index: 30

North America-United States

About Risi Kondor

Risi Kondor, With an exceptional h-index of 30 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Machine Learning, Computational Harmonic Analysis, Deep Learning, Machine Learning for Physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks

Sign Rank Limitations for Attention-Based Graph Decoders

Multiresolution equivariant graph variational autoencoder

Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs

Fast temporal wavelet graph neural networks

Transformers are efficient hierarchical chemical graph learners

P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks

Speeding up learning quantum states through group equivariant convolutional quantum ansätze

Risi Kondor Information

University

Position

Associate Professor The

Citations(all)

12835

Citations(since 2020)

7693

Cited By

7993

hIndex(all)

30

hIndex(since 2020)

24

i10Index(all)

47

i10Index(since 2020)

41

Email

University Profile Page

University of Chicago

Google Scholar

View Google Scholar Profile

Risi Kondor Skills & Research Interests

Machine Learning

Computational Harmonic Analysis

Deep Learning

Machine Learning for Physics

Top articles of Risi Kondor

Title

Journal

Author(s)

Publication Date

P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks

Andrew R Hands

Tianyi Sun

Risi Kondor

2024/4/18

Sign Rank Limitations for Attention-Based Graph Decoders

arXiv preprint arXiv:2402.06662

Su Hyeong Lee

Qingqi Zhang

Risi Kondor

2024/2/6

Multiresolution equivariant graph variational autoencoder

Machine Learning: Science and Technology

Truong Son Hy

Risi Kondor

2023/3

Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs

arXiv preprint arXiv:2302.08680

Nhat Khang Ngo

Truong Son Hy

Risi Kondor

2023/2/17

Fast temporal wavelet graph neural networks

arXiv preprint arXiv:2302.08643

Duc Thien Nguyen

Manh Duc Tuan Nguyen

Truong Son Hy

Risi Kondor

2023/2/17

Transformers are efficient hierarchical chemical graph learners

arXiv preprint arXiv:2310.01704

Zihan Pengmei

Zimu Li

Chih-chan Tien

Risi Kondor

Aaron R Dinner

2023/10/2

P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks

arXiv preprint arXiv:2306.10767

Tianyi Sun

Andrew Hands

Risi Kondor

2023/6/19

Speeding up learning quantum states through group equivariant convolutional quantum ansätze

PRX Quantum

Han Zheng

Zimu Li

Junyu Liu

Sergii Strelchuk

Risi Kondor

2023/5/15

Symmetry group equivariant architectures for physics

arXiv preprint arXiv:2203.06153

Alexander Bogatskiy

Sanmay Ganguly

Thomas Kipf

Risi Kondor

David W Miller

...

2022/3/11

arXiv: Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning

Phiala Shanahan

Oz Amram

Jernej F Kamenik

Andrej Matevc

Abhijith Gandrakota

...

2022/9/15

Graph neural networks for biochemistry that incorporate substructure

Biophysical Journal

Erik H Thiede

Wenda Zhou

Risi Kondor

2022/2/11

Predicting Drug-Drug Interactions using Deep Generative Models on Graphs

Nhat Khang Ngo

Truong Son Hy

Risi Kondor

2022/9/14

Molecular fingerprints are a simple yet effective solution to the drug–drug interaction problem

drugs

Yanan Long

Horace Pan

Chao Zhang

Hy Truong Song

Risi Kondor

...

2022

Temporal multiresolution graph neural networks for epidemic prediction

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, ICML 2022

Truong Son Hy

Viet Bach Nguyen

Long Tran-Thanh

Risi Kondor

2022/5/30

Graph Neural Networks that incorporate Physical Structure

APS March Meeting Abstracts

Erik Thiede

Wenda Zhou

Risi Kondor

2022

On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU() Symmetry

arXiv preprint arXiv:2207.07250

Han Zheng

Zimu Li

Junyu Liu

Sergii Strelchuk

Risi Kondor

2022/7/15

Unifying O (3) Equivariant Neural Networks Design with Tensor-Network Formalism

arXiv preprint arXiv:2211.07482

Zimu Li

Zihan Pengmei

Han Zheng

Erik Thiede

Junyu Liu

...

2022/11/14

Permutation equivariant layers for higher order interactions

Horace Pan

Risi Kondor

2022/5/3

Multiresolution matrix factorization and wavelet networks on graphs

Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022

Truong Son Hy

Risi Kondor

2022/7/23

A community-powered search of machine learning strategy space to find NMR property prediction models

Plos one

Lars A Bratholm

Will Gerrard

Brandon Anderson

Shaojie Bai

Sunghwan Choi

...

2021/7/20

See List of Professors in Risi Kondor University(University of Chicago)

Co-Authors

H-index: 73
Gabor Csanyi

Gabor Csanyi

University of Cambridge

H-index: 49
S V N Vishwanathan

S V N Vishwanathan

Purdue University

H-index: 37
Vikas Singh

Vikas Singh

University of Wisconsin-Madison

H-index: 16
Shubhendu Trivedi

Shubhendu Trivedi

Massachusetts Institute of Technology

H-index: 14
Vikas Garg

Vikas Garg

Massachusetts Institute of Technology

H-index: 10
Wenda Zhou

Wenda Zhou

Columbia University in the City of New York

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