
MotifDriven Contrastive Learning of Graph Representations
Graph motifs are significant subgraph patterns occurring frequently in g...
read it

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
There has been a steady need in the medical community to precisely extra...
read it

Queryfree Blackbox Adversarial Attacks on Graphs
Many graphbased machine learning models are known to be vulnerable to a...
read it

Unsupervised AdversariallyRobust Representation Learning on Graphs
Recent works have demonstrated that deep learning on graphs is vulnerabl...
read it

Learning Continuous System Dynamics from IrregularlySampled Partial Observations
Many realworld systems, such as moving planets, can be considered as mu...
read it

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Over the past decade, multivariate time series classification (MTSC) has...
read it

Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
Predicting missing facts in a knowledge graph (KG) is a crucial task in ...
read it

GPTGNN: Generative PreTraining of Graph Neural Networks
Graph neural networks (GNNs) have been demonstrated to be powerful in mo...
read it

BiLevel Graph Neural Networks for DrugDrug Interaction Prediction
We introduce BiGNN for modeling biological link prediction tasks such a...
read it

TIMME: Twitter Ideologydetection via Multitask Multirelational Embedding
We aim at solving the problem of predicting people's ideology, or politi...
read it

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning
In this work, we are interested in the large graph similarity computatio...
read it

Software Language Comprehension using a ProgramDerived Semantic Graph
Traditional code transformation structures, such as an abstract syntax t...
read it

Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond
Since realworld objects and their interactions are often multimodal an...
read it

Heterogeneous Graph Transformer
Recent years have witnessed the emerging success of graph neural network...
read it

Fast Detection of Maximum Common Subgraph via Deep QLearning
Detecting the Maximum Common Subgraph (MCS) between two input graphs is ...
read it

LayerDependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Graph convolutional networks (GCNs) have recently received wide attentio...
read it

Differentiable Product Quantization for EndtoEnd Embedding Compression
Embedding layer is commonly used to map discrete symbols into continuous...
read it

FewShot Representation Learning for OutOfVocabulary Words
Existing approaches for learning word embeddings often assume there are ...
read it

PreTraining Graph Neural Networks for Generic Structural Feature Extraction
Graph neural networks (GNNs) are shown to be successful in modeling appl...
read it

Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Betweenness centrality (BC) is one of the most used centrality measures ...
read it

Dissecting Graph Neural Networks on Graph Classification
Graph Neural Nets (GNNs) have received increasing attentions, partially ...
read it

Learning Fair Representations via an Adversarial Framework
Fairness has become a central issue for our research community as classi...
read it

Unsupervised Inductive WholeGraph Embedding by Preserving Graph Proximity
We introduce a novel approach to graphlevel representation learning, wh...
read it

Embedding Uncertain Knowledge Graphs
Embedding models for deterministic Knowledge Graphs (KG) have been exten...
read it

Convolutional Set Matching for Graph Similarity
We introduce GSimCNN (Graph Similarity Computation via Convolutional Neu...
read it

Convolutional Neural Networks for Fast Approximation of Graph Edit Distance
Graph Edit Distance (GED) computation is a core operation of many widely...
read it

Graph Edit Distance Computation via Graph Neural Networks
Graph similarity search is among the most important graphbased applicat...
read it

The Art of Drafting: A TeamOriented Hero Recommendation System for Multiplayer Online Battle Arena Games
Multiplayer Online Battle Arena (MOBA) games have received increasing po...
read it

QDeckRec: A Fast Deck Recommendation System for Collectible Card Games
Deck building is a crucial component in playing Collectible Card Games (...
read it

Learning Kway Ddimensional Discrete Codes for Compact Embedding Representations
Conventional embedding methods directly associate each symbol with a con...
read it

HeteroMed: Heterogeneous Information Network for Medical Diagnosis
With the recent availability of Electronic Health Records (EHR) and grea...
read it

A SemanticRich Similarity Measure in Heterogeneous Information Networks
Measuring the similarities between objects in information networks has f...
read it

Recurrent MetaStructure for Robust Similarity Measure in Heterogeneous Information Networks
Similarity measure as a fundamental task in heterogeneous information ne...
read it

DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks
Similarity measure as a fundamental task in heterogeneous information ne...
read it

Learning Kway Ddimensional Discrete Code For Compact Embedding Representations
Embedding methods such as word embedding have become pillars for many ap...
read it

On Sampling Strategies for Neural Networkbased Collaborative Filtering
Recent advances in neural networks have inspired people to design hybrid...
read it

Joint Text Embedding for Personalized Contentbased Recommendation
Learning a good representation of text is key to many recommendation app...
read it

Player Skill Decomposition in Multiplayer Online Battle Arenas
Successful analysis of player skills in video games has important impact...
read it

TaskGuided and PathAugmented Heterogeneous Network Embedding for Author Identification
In this paper, we study the problem of author identification under doubl...
read it

Entity Embeddingbased Anomaly Detection for Heterogeneous Categorical Events
Anomaly detection plays an important role in modern datadriven security...
read it
Yizhou Sun
is this you? claim profile