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NeurIPS 2018 (Dec)

• Link Prediction Based on Graph Neural Networks
• Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
• Adaptive Sampling Towards Fast Graph Representation Learning
• Mean-field theory of graph neural networks in graph partitioning
• Hierarchical Graph Representation Learning with Differentiable Pooling
• Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
• Learning Conditioned Graph Structures for Interpretable Visual Question Answering
• Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
• Beyond Grids: Learning Graph Representations for Visual Recognition

more

• Symbolic Graph Reasoning Meets Convolutions
• Diffusion Maps for Textual Network Embedding
• Bayesian Semi-supervised Learning with Graph Gaussian Processes
• Structure-Aware Convolutional Neural Networks
• Recurrent Relational Networks
• Learning to Multitask

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ICDM 2018 (Nov)

• HHNE: Heterogeneous Hyper-Network Embedding
• Signed Graph Convolutional Network
• FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation
• Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
• A Low Rank Weighted Graph Convolutional Approach to Weather Prediction
• Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network

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EMNLP 2018 (Nov)

• RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
• AD3: Attentive Deep Document Dater
• Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
• One-Shot Relational Learning for Knowledge Graphs
• Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
• Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
• Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
• Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
• A Unified Syntax-aware Framework for Semantic Role Labeling
• Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks

more

• SQL-to-Text Generation with Graph-to-Sequence Model
• N-ary Relation Extraction using Graph State LSTM

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CIKM 2018 (Oct)

• Semi-supervised Learning on Graphs with Generative Adversarial Nets
• Multiresolution Graph Attention Networks for Relevance Matching
• Heterogeneous Graph Neural Networks for Malicious Account Detection
• Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction

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ECCV 2018 (Sep)

• Graph R-CNN for Scene Graph Generation
• Exploring Visual Relationship for Image Captioning
• Learning Human-Object Interactions by Graph Parsing Neural Networks
• Efficient Relative Attribute Learning using Graph Neural Networks
• Local Spectral Graph Convolution for Point Set Feature Learning
• Person Re-identification with Deep Similarity-Guided Graph Neural Network

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UAI 2018 (Aug)

• GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

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KDD 2018 (Aug)

• Graph Convolutional Neural Networks for Web-Scale Recommender Systems
• Large-Scale Learnable Graph Convolutional Networks
• DeepInf: Modeling Influence Locality in Large Social Networks
• Adversarial Attacks on Neural Networks for Graph Data
• Deep Variational Network Embedding in Wasserstein Space
• Graph Classification using Structural Attention

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ICML 2018 (Jul)

• Representation Learning on Graphs with Jumping Knowledge Networks
• Stochastic Training of Graph Convolutional Networks
• Learning Steady-States of Iterative Algorithms over Graphs
• GraphRNN: A Deep Generative Model for Graphs
• Adversarial Attack on Graph Structured Data
• NetGAN: Generating Graphs via Random Walks
• Neural Relational Inference for Interacting Systems
• Graph Networks as Learnable Physics Engines for Inference and Control

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IJCAI 2018 (Jul)

• Commonsense Knowledge Aware Conversation Generation with Graph Attention
• Deep Reasoning with Knowledge Graph for Social Relationship Understanding
• Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
• Adversarially Regularized Graph Autoencoder for Graph Embedding
• Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
• Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
• Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification

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ACL 2018 (Jul)

• Dating Documents using Graph Convolution Networks
• Semi-supervised User Geolocation via Graph Convolutional Networks
• Graph-to-Sequence Learning using Gated Graph Neural Networks
• A Graph-to-Sequence Model for AMR-to-Text Generation
• Sentence-State LSTM for Text Representation

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CVPR 2018 (Jun)

• Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
• Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
• Zero-Shot Sketch-Image Hashing
• Image Generation from Scene Graphs
• SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
• Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams
• Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++

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NAACL 2018 (Jun)

• Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

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ICLR 2018 (May)

• FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
• Few-Shot Learning with Graph Neural Networks
• Graph Attention Networks
• Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
• Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
• NerveNet: Learning Structured Policy with Graph Neural Networks
• Automatically Inferring Data Quality for Spatiotemporal Forecasting
• Learning to Represent Programs with Graphs

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ESWC 2018

• Modeling Relational Data with Graph Convolutional Networks

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WWW 2018 (April)

• Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
• Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

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AAAI 2018 (Feb)

• Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
• RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding
• Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
• An End-to-End Deep Learning Architecture for Graph Classification
• Adaptive Graph Convolutional Neural Networks
• Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
• Spatio Temporal Graph Convolution for Skeleton Based Action Recognition

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Years: 2017 and Earlier