GCN Reviews
DGL: An Introduction of Deep Graph Learning
Given Talk by Fanghua Ye
SY) Knowledge graph attntion networks for recommendation
SY) Fast GCN via importance sampling
SY) PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
WL) Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
FZX) AHNG Representation learning on attributed heterogeneous network
SY) Signed graph convolutional networks
WL) Heterogeneous Graph Attention Network
FZX) Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
SY) Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
FZX) Session-based Social Recommendation via Dynamic Graph Attention Networks
WL）A Unified Framework for Community Detection and Network Representation Learning
SY) Adversarial Attacks on Neural Networks for Graph Data
WL) survey_spatial
FZX) Sentiment Classification towards Question-Answering with Hierarchical Matching Network
ZRT) Collaborative Similarity Embedding for Recommender Systems
SY) Survey on sampling methods for networks
ZRT) Network Structure and Transfer Behaviors Embedding via Deep Prediction Model
SY) Graph Attention Networks
WL) Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model
PX) GraphRNN
ZRT) ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
SY) How powerful is Graph Convolutional Network?
WL)WhatWe Read, WhatWe Search:�Media Attention and Public Attention Among 193 Countries
SY) Wisfeiler-Lehman Algorithm
ZRT) Modeling Personalized Dynamics of Social Network and Opinion at Individual Level
FZX) Attributed Network Embedding for Incomplete Structure Information
WL) Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
ZRT) Representation Learning on Graphs with Jumping Knowledge Networks
SY) Graph Convolutional Network
WL) Learning Convolutional Neural Networks for Graphs
SY) Seq2seq and Attention model
attention is all you need blog is here
ZRT) HinDroid An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network
WL) Diffusion-Convolutional Neural Networks
WL) CANE: Context-Aware Network Embedding for Relation Modeling
ZRT) High-order Proximity Preserving Information Network Hashing
WL) Real-time Personalization using Embeddings for Search Ranking at Airbnb
SY) Self-Translation Network Embedding
ZRT) Arbitrary-Order Proximity Preserved Network Embedding
PX) RippleNet
SY) Inductive Representation Learning for Large Scale Networks
SY) self-paced network embedding
ZRT) Learning and Transferring IDs Representation in E-commerce
PX) Deep Interest Evolution Network for Click-Through Rate Prediction
WL) Deep Embedding Forest ForestBased Serving with Deep Embedding Features
SY) Multi-dimensional Network Embedding with Hirearchical Structure
WL) An attention based collaboration framework for multi view network representation Learning
SY) Learning Graph Representations with Embedding Propagation
PX) Deep Interest Network for Click-Through Rate Prediction
ZRT) Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability
SY) Some basic Knowledge of Reinforcement Learning
WY) SHINE Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
WL) Learning Community Embedding with Community Detection and Node Embedding on Graphs
PX) prod2vec:E-commerce in Your Inbox:Product Recommendations at Scale
SY) HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning
WL) Atributed Network Embedding for Learning in a Dynamic Environment
ZRT) Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
WL) CARL: Content Aware Representation Learning for Heterogeneous Networks
SY) GAN : An Overview
FZX) Community Detection in Attributed Graphs An Embedding Approach
ZRT) Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop
SY) On Exploring Semantic Meanings of Links for Embedding Social Networks