Search Results for author: Junshan Wang

Found 8 papers, 1 papers with code

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System

no code implementations28 Mar 2022 Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng

Moreover, to deploy AMCAD in Taobao, one of the largest ecommerce platforms with hundreds of million users, we design an efficient two-layer online retrieval framework for the task of graph based advertisement retrieval.

Graph Embedding Information Retrieval +1

TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

1 code implementation11 Jun 2021 Xu Chen, Junshan Wang, Kunqing Xie

With the rapid growth of traffic sensors deployed, a massive amount of traffic flow data are collected, revealing the long-term evolution of traffic flows and the gradual expansion of traffic networks.

Continual Learning

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data

no code implementations6 Jun 2021 Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang

To simultaneously extract spatial and relational information from tables, we propose a novel neural network architecture, TabularNet.

graph construction

Learning Node Representations from Noisy Graph Structures

no code implementations4 Dec 2020 Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi

Since noises are often unknown on real graphs, we design two generators, namely a graph generator and a noise generator, to identify normal structures and noises in an unsupervised setting.

Graph Reconstruction Node Classification

EPNE: Evolutionary Pattern Preserving Network Embedding

no code implementations24 Sep 2020 Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma

In this paper, we propose EPNE, a temporal network embedding model preserving evolutionary patterns of the local structure of nodes.

Network Embedding

Streaming Graph Neural Networks via Continual Learning

no code implementations23 Sep 2020 Junshan Wang, Guojie Song, Yi Wu, Liang Wang

In this paper, we propose a streaming GNN model based on continual learning so that the model is trained incrementally and up-to-date node representations can be obtained at each time step.

Continual Learning Node Classification

Tag2Vec: Learning Tag Representations in Tag Networks

no code implementations19 Apr 2019 Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei. Lin

Network embedding is a method to learn low-dimensional representation vectors for nodes in complex networks.

Network Embedding TAG

Using Social Network Information in Bayesian Truth Discovery

no code implementations8 Jun 2018 Jielong Yang, Junshan Wang, Wee Peng Tay

We incorporate knowledge of the agents' social network in our truth discovery framework and develop Laplace variational inference methods to estimate agents' reliabilities, communities, and the event states.

Variational Inference

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