Contents
GNN
Leture 16 - Advanced Topics in Graph Neural Networks • Aug 31, 2022
Leture 9 - Theory of Graph Neural Networks • Aug 10, 2022
Applications of GraphML
Lecture 01 • Jul 6, 2022
BigCLAM
Lecture 13.4 - Detecting Overlapping Communities • Aug 24, 2022
Lecture 13.3 - Louvain Algorithm • Aug 24, 2022
Lecture 13.2 - Network Communities • Aug 24, 2022
Lecture 13.1 - Community Detection in Networks • Aug 24, 2022
box embedding
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
Choice of Graph Representation
Lecture 01 • Jul 6, 2022
Cluster GCN
Lecture 17.4 - Scaling up by Simplifying GNNs • Sep 7, 2022
Lecture 17.3 - Cluster GCN - Scaling up GNNs • Sep 7, 2022
Lecture 17.2 - GraphSAGE Neighbor Sampling • Sep 7, 2022
Lecture 17.1 - Scaling up Graph Neural Networks • Sep 7, 2022
Lecture 13.4 - Detecting Overlapping Communities • Aug 24, 2022
Lecture 13.3 - Louvain Algorithm • Aug 24, 2022
Lecture 13.2 - Network Communities • Aug 24, 2022
Lecture 13.1 - Community Detection in Networks • Aug 24, 2022
Lecture 13.4 - Detecting Overlapping Communities • Aug 24, 2022
Lecture 13.3 - Louvain Algorithm • Aug 24, 2022
Lecture 13.2 - Network Communities • Aug 24, 2022
Lecture 13.1 - Community Detection in Networks • Aug 24, 2022
conjunctive query
Lecture 11.2 - Answering Predictive Queries • Aug 17, 2022
Lecture 11.1 - Reasoning in Knowledge Graphs • Aug 17, 2022
dead ends
Lecture 4.2 - PageRank, How to Solve? • Jul 13, 2022
distance
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
eigenvector
Lecture 4.1 - PageRank • Jul 13, 2022
factorization
Lecture 4.4 - Matrix Factorization and Node Embeddings • Jul 13, 2022
flow equations
Lecture 4.1 - PageRank • Jul 13, 2022
flow model
Lecture 4.1 - PageRank • Jul 13, 2022
GCN
Lecture 12.3 - Finding Frequent Subgraphs • Aug 17, 2022
Lecture 12.2 - Neural Subgraph Matching • Aug 17, 2022
Lecture 12.1 - Fast Neural Subgraph Matching & Counting • Aug 17, 2022
Lecture 8.1 - Graph Augmentation for GNNs • Aug 3, 2022
Lecture 6.3 - Deep Learning for Graphs • Jul 27, 2022
Lecture 6.2 - Basics of Deep Learning • Jul 27, 2022
Lecture 6.1 - Introduction to Graph Neural Networks • Jul 27, 2022
Lecture 5.3 - Collective Classification - Belief Propagation • Jul 20, 2022
Lecture 5.2 - Relational and Iterative Classification • Jul 20, 2022
Lecture 5.1 - Message passing and Node Classification • Jul 20, 2022
GNN
Lecture 17.4 - Scaling up by Simplifying GNNs • Sep 7, 2022
Lecture 17.3 - Cluster GCN - Scaling up GNNs • Sep 7, 2022
Lecture 17.2 - GraphSAGE Neighbor Sampling • Sep 7, 2022
Lecture 17.1 - Scaling up Graph Neural Networks • Sep 7, 2022
Lecture 13.4 - Detecting Overlapping Communities • Aug 24, 2022
Lecture 13.3 - Louvain Algorithm • Aug 24, 2022
Lecture 13.2 - Network Communities • Aug 24, 2022
Lecture 13.1 - Community Detection in Networks • Aug 24, 2022
Lecture 12.3 - Finding Frequent Subgraphs • Aug 17, 2022
Lecture 12.2 - Neural Subgraph Matching • Aug 17, 2022
Lecture 12.1 - Fast Neural Subgraph Matching & Counting • Aug 17, 2022
Lecture 8.1 - Graph Augmentation for GNNs • Aug 3, 2022
Lecture 6.3 - Deep Learning for Graphs • Jul 27, 2022
Lecture 6.2 - Basics of Deep Learning • Jul 27, 2022
Lecture 6.1 - Introduction to Graph Neural Networks • Jul 27, 2022
Lecture 5.3 - Collective Classification - Belief Propagation • Jul 20, 2022
Lecture 5.2 - Relational and Iterative Classification • Jul 20, 2022
Lecture 5.1 - Message passing and Node Classification • Jul 20, 2022
Graph
Leture 16 - Advanced Topics in Graph Neural Networks • Aug 31, 2022
Leture 9 - Theory of Graph Neural Networks • Aug 10, 2022
Leture 2 - Traditional Methods for Machine Learning in Graphs • Jul 6, 2022
Graph Convolution Network
Lecture 12.3 - Finding Frequent Subgraphs • Aug 17, 2022
Lecture 12.2 - Neural Subgraph Matching • Aug 17, 2022
Lecture 12.1 - Fast Neural Subgraph Matching & Counting • Aug 17, 2022
Lecture 8.1 - Graph Augmentation for GNNs • Aug 3, 2022
Lecture 6.3 - Deep Learning for Graphs • Jul 27, 2022
Lecture 6.2 - Basics of Deep Learning • Jul 27, 2022
Lecture 6.1 - Introduction to Graph Neural Networks • Jul 27, 2022
Lecture 5.3 - Collective Classification - Belief Propagation • Jul 20, 2022
Lecture 5.2 - Relational and Iterative Classification • Jul 20, 2022
Lecture 5.1 - Message passing and Node Classification • Jul 20, 2022
Graph Neural Network
Lecture 12.3 - Finding Frequent Subgraphs • Aug 17, 2022
Lecture 12.2 - Neural Subgraph Matching • Aug 17, 2022
Lecture 12.1 - Fast Neural Subgraph Matching & Counting • Aug 17, 2022
Lecture 8.1 - Graph Augmentation for GNNs • Aug 3, 2022
Lecture 6.3 - Deep Learning for Graphs • Jul 27, 2022
Lecture 6.2 - Basics of Deep Learning • Jul 27, 2022
Lecture 6.1 - Introduction to Graph Neural Networks • Jul 27, 2022
Lecture 5.3 - Collective Classification - Belief Propagation • Jul 20, 2022
Lecture 5.2 - Relational and Iterative Classification • Jul 20, 2022
Lecture 5.1 - Message passing and Node Classification • Jul 20, 2022
GraphSAGE
Lecture 17.4 - Scaling up by Simplifying GNNs • Sep 7, 2022
Lecture 17.3 - Cluster GCN - Scaling up GNNs • Sep 7, 2022
Lecture 17.2 - GraphSAGE Neighbor Sampling • Sep 7, 2022
Lecture 17.1 - Scaling up Graph Neural Networks • Sep 7, 2022
intersection operator
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
jupyter
Fastpages Notebook Blog Post • Oct 13, 2022
keyword1
Lecture N.1 - 강의 소제목(분할되어 있는 동영상 제목) • Jul 1, 2022
knowledge graph
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
Lecture 11.2 - Answering Predictive Queries • Aug 17, 2022
Lecture 11.1 - Reasoning in Knowledge Graphs • Aug 17, 2022
large graph
Lecture 17.4 - Scaling up by Simplifying GNNs • Sep 7, 2022
Lecture 17.3 - Cluster GCN - Scaling up GNNs • Sep 7, 2022
Lecture 17.2 - GraphSAGE Neighbor Sampling • Sep 7, 2022
Lecture 17.1 - Scaling up Graph Neural Networks • Sep 7, 2022
Link
Leture 16 - Advanced Topics in Graph Neural Networks • Aug 31, 2022
Leture 9 - Theory of Graph Neural Networks • Aug 10, 2022
Leture 2 - Traditional Methods for Machine Learning in Graphs • Jul 6, 2022
Louvain
Lecture 13.4 - Detecting Overlapping Communities • Aug 24, 2022
Lecture 13.3 - Louvain Algorithm • Aug 24, 2022
Lecture 13.2 - Network Communities • Aug 24, 2022
Lecture 13.1 - Community Detection in Networks • Aug 24, 2022
matrix
Lecture 4.4 - Matrix Factorization and Node Embeddings • Jul 13, 2022
Lecture 4.3 - Random Walk with Restarts • Jul 13, 2022
Lecture 4.2 - PageRank, How to Solve? • Jul 13, 2022
Lecture 4.1 - PageRank • Jul 13, 2022
ML
Leture 16 - Advanced Topics in Graph Neural Networks • Aug 31, 2022
Leture 9 - Theory of Graph Neural Networks • Aug 10, 2022
Leture 2 - Traditional Methods for Machine Learning in Graphs • Jul 6, 2022
Node
Leture 16 - Advanced Topics in Graph Neural Networks • Aug 31, 2022
Leture 9 - Theory of Graph Neural Networks • Aug 10, 2022
Leture 2 - Traditional Methods for Machine Learning in Graphs • Jul 6, 2022
node embedding
Lecture 4.4 - Matrix Factorization and Node Embeddings • Jul 13, 2022
one-hop query
Lecture 11.1 - Reasoning in Knowledge Graphs • Aug 17, 2022
Lecture 4.3 - Random Walk with Restarts • Jul 13, 2022
Lecture 4.2 - PageRank, How to Solve? • Jul 13, 2022
Lecture 4.1 - PageRank • Jul 13, 2022
path query
Lecture 11.1 - Reasoning in Knowledge Graphs • Aug 17, 2022
power iteration
Lecture 4.1 - PageRank • Jul 13, 2022
ppr
Lecture 4.3 - Random Walk with Restarts • Jul 13, 2022
predictive query
Lecture 11.1 - Reasoning in Knowledge Graphs • Aug 17, 2022
projection operator
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
proximity
Lecture 4.3 - Random Walk with Restarts • Jul 13, 2022
query embedding
Lecture 11.2 - Answering Predictive Queries • Aug 17, 2022
query generation
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
random walks
Lecture 4.4 - Matrix Factorization and Node Embeddings • Jul 13, 2022
Lecture 4.3 - Random Walk with Restarts • Jul 13, 2022
rank
Lecture 4.1 - PageRank • Jul 13, 2022
reasoning
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
Lecture 11.2 - Answering Predictive Queries • Aug 17, 2022
Lecture 11.1 - Reasoning in Knowledge Graphs • Aug 17, 2022
recommendation
Lecture 4.3 - Random Walk with Restarts • Jul 13, 2022
restarts
Lecture 4.3 - Random Walk with Restarts • Jul 13, 2022
scalable
Lecture 17.4 - Scaling up by Simplifying GNNs • Sep 7, 2022
Lecture 17.3 - Cluster GCN - Scaling up GNNs • Sep 7, 2022
Lecture 17.2 - GraphSAGE Neighbor Sampling • Sep 7, 2022
Lecture 17.1 - Scaling up Graph Neural Networks • Sep 7, 2022
score function
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
Simplified GCN
Lecture 17.4 - Scaling up by Simplifying GNNs • Sep 7, 2022
Lecture 17.3 - Cluster GCN - Scaling up GNNs • Sep 7, 2022
Lecture 17.2 - GraphSAGE Neighbor Sampling • Sep 7, 2022
Lecture 17.1 - Scaling up Graph Neural Networks • Sep 7, 2022
spider trap
Lecture 4.2 - PageRank, How to Solve? • Jul 13, 2022
stationary distribution
Lecture 4.1 - PageRank • Jul 13, 2022
t-sne
Lecture 11.3 - Query2box Reasoning over KGs • Aug 17, 2022
tag1
Lecture N.1 - 강의 소제목(분할되어 있는 동영상 제목) • Jul 1, 2022
tag2
Lecture N.1 - 강의 소제목(분할되어 있는 동영상 제목) • Jul 1, 2022
teleports
Lecture 4.2 - PageRank, How to Solve? • Jul 13, 2022
Theory
Leture 16 - Advanced Topics in Graph Neural Networks • Aug 31, 2022
Leture 9 - Theory of Graph Neural Networks • Aug 10, 2022
TransE
Lecture 11.2 - Answering Predictive Queries • Aug 17, 2022
traversing
Lecture 11.2 - Answering Predictive Queries • Aug 17, 2022
web
Lecture 4.1 - PageRank • Jul 13, 2022
Why Graphs
Lecture 01 • Jul 6, 2022