Search Results for author: Jianhao Peng

Found 6 papers, 2 papers with code

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

no code implementations24 Jun 2021 Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic

We propose AllSet, a new hypergraph neural network paradigm that represents a highly general framework for (hyper)graph neural networks and for the first time implements hypergraph neural network layers as compositions of two multiset functions that can be efficiently learned for each task and each dataset.

Node Classification

Linear Classifiers in Product Space Forms

no code implementations19 Feb 2021 Puoya Tabaghi, Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenković

Embedding methods for product spaces are powerful techniques for low-distortion and low-dimensional representation of complex data structures.

Geometry of Similarity Comparisons

no code implementations17 Jun 2020 Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic, Ivan Dokmanić

To study this question, we introduce the notions of the \textit{ordinal capacity} of a target space form and \emph{ordinal spread} of the similarity measurements.

Adaptive Universal Generalized PageRank Graph Neural Network

1 code implementation ICLR 2021 Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic

We address these issues by introducing a new Generalized PageRank (GPR) GNN architecture that adaptively learns the GPR weights so as to jointly optimize node feature and topological information extraction, regardless of the extent to which the node labels are homophilic or heterophilic.

GPR Node Classification +1

Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction

no code implementations8 Nov 2019 Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic

Generative models are successful at retaining pairwise associations in the underlying networks but often fail to capture higher-order connectivity patterns known as network motifs.

Graph Generation

Online Convex Matrix Factorization with Representative Regions

1 code implementation NeurIPS 2019 Abhishek Agarwal, Jianhao Peng, Olgica Milenkovic

We address both problems by proposing the first online convex MF algorithm that maintains a collection of constant-size sets of representative data samples needed for interpreting each of the basis (Ding et al. [2010]) and has the same almost sure convergence guarantees as the online learning algorithm of Mairal et al. [2010].

Dictionary Learning Dimensionality Reduction

Cannot find the paper you are looking for? You can Submit a new open access paper.