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1403.6652
Cited By
DeepWalk: Online Learning of Social Representations
26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
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Papers citing
"DeepWalk: Online Learning of Social Representations"
50 / 2,442 papers shown
Title
Influencer Detection with Dynamic Graph Neural Networks
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Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
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Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling
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Self-Supervised Graph Structure Refinement for Graph Neural Networks
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Total Variation Graph Neural Networks
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MGTCOM: Community Detection in Multimodal Graphs
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S. Wang
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Graph Summarization via Node Grouping: A Spectral Algorithm
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Graph Contrastive Learning with Implicit Augmentations
Huidong Liang
Xingjian Du
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A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
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Rethinking the positive role of cluster structure in complex networks for link prediction tasks
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Hierarchies over Vector Space: Orienting Word and Graph Embeddings
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Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
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Sarwan Ali
Shafiq Alam
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Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior
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Line Graph Contrastive Learning for Link Prediction
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Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs
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Global Counterfactual Explainer for Graph Neural Networks
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Sourav Medya
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Generalized Reciprocal Perspective
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Low-Rank Representations Towards Classification Problem of Complex Networks
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Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN
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Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
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Graph sampling for node embedding
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18
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SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
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Jian Pu
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Graph Anomaly Detection with Unsupervised GNNs
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Unifying Graph Contrastive Learning with Flexible Contextual Scopes
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One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
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MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
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Linkless Link Prediction via Relational Distillation
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Learning the Network of Graphs for Graph Neural Networks
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Dynamic Latent Separation for Deep Learning
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Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision
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