Papers
Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment
Hao Nie, Xianpei Han, Le Sun et al.
Goal Recognition Design - Survey
Sarah Keren, Avigdor Gal, Erez Karpas
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Hanchen Wang, Defu Lian, Ying Zhang et al.
Gradient Perturbation is Underrated for Differentially Private Convex Optimization
Da Yu, Huishuai Zhang, Wei Chen et al.
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
Yu Chen, Lingfei Wu, Mohammed J. Zaki
Graph Neural Architecture Search
Yang Gao, Hong Yang, Peng Zhang et al.
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb, Artur d’Avila Garcez, Marco Gori et al.
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
Ziyu Jia, Youfang Lin, Jing Wang et al.
Greedy Convex Ensemble
Thanh Tan Nguyen, Nan Ye, Peter Bartlett
GSM: Graph Similarity Model for Multi-Object Tracking
Qiankun Liu, Qi Chu, Bin Liu et al.
Guided Generation of Cause and Effect
Zhongyang Li, Xiao Ding, Ting Liu et al.
HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features
Zhihui Lin, Chun Yuan, Maomao Li
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
Maxime Wabartha, Audrey Durand, Vincent François-Lavet et al.
Harnessing Code Switching to Transcend the Linguistic Barrier
Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell
Heterogeneous Network Representation Learning
Yuxiao Dong, Ziniu Hu, Kuansan Wang et al.
HID: Hierarchical Multiscale Representation Learning for Information Diffusion
Honglu Zhou, Shuyuan Xu, Zuohui Fu et al.
Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description
Kai Shen, Lingfei Wu, Fangli Xu et al.
Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval
Heyu Zhou, Weizhi Nie, Wenhui Li et al.
Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces
Rana Alshaikh, Zied Bouraoui, Steven Schockaert
Hierarchical Matching Network for Heterogeneous Entity Resolution
Cheng Fu, Xianpei Han, Jiaming He et al.
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction
Qianggang Ding, Sifan Wu, Hao Sun et al.
Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays
Wei Song, Ziyao Song, Lizhen Liu et al.
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract)
Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin et al.
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines
Johannes Huegle, Christopher Hagedorn, Matthias Uflacker
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Bei Chen, Jiaqi Guo et al.