Search Results for author: Yixuan He

Found 9 papers, 6 papers with code

CEP3: Community Event Prediction with Neural Point Process on Graph

no code implementations21 May 2022 Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan

Many real world applications can be formulated as event forecasting on Continuous Time Dynamic Graphs (CTDGs) where the occurrence of a timed event between two entities is represented as an edge along with its occurrence timestamp in the graphs. However, most previous works approach the problem in compromised settings, either formulating it as a link prediction task on the graph given the event time or a time prediction problem given which event will happen next.

Link Prediction

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks

no code implementations1 Feb 2022 Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu

Recovering global rankings from pairwise comparisons is an important problem with many applications, ranging from time synchronization to sports team ranking.

SSSNET: Semi-Supervised Signed Network Clustering

1 code implementation13 Oct 2021 Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu

Node embeddings are a powerful tool in the analysis of networks; yet, their full potential for the important task of node clustering has not been fully exploited.

Link Sign Prediction Node Clustering +1

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

3 code implementations15 Apr 2021 Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Astefanoaei, Oliver Kiss, Ferenc Beres, Guzmán López, Nicolas Collignon, Rik Sarkar

We present PyTorch Geometric Temporal a deep learning framework combining state-of-the-art machine learning algorithms for neural spatiotemporal signal processing.

MagNet: A Neural Network for Directed Graphs

1 code implementation NeurIPS 2021 Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew Hirn

In this paper, we propose MagNet, a spectral GNN for directed graphs based on a complex Hermitian matrix known as the magnetic Laplacian.

Link Prediction Node Classification

Scan-flood Fill(SCAFF): an Efficient Automatic Precise Region Filling Algorithm for Complicated Regions

1 code implementation8 Jun 2019 Yixuan He, Tianyi Hu, Delu Zeng

Experimental results show that the proposed algorithm can generate precise masks that allow for various machine learning tasks such as supervised training.

Graphics

Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation

1 code implementation15 May 2018 Delu Zeng, Yixuan He, Li Liu, Zhihong Chen, Jiabin Huang, Jie Chen, John Paisley

In this paper, we propose an end-to-end generic salient object segmentation model called Metric Expression Network (MEnet) to deal with saliency detection with the tolerance of distortion.

Saliency Detection Semantic Segmentation

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