Date |
Topic |
Content (Presenter) |
Event |
8/27 |
Introduction |
Introduction (Chuxu Zhang)
|
|
9/1 |
Graph Representation Learning |
Graph Representation Learning Tutorial 1 (Chuxu Zhang)
|
|
9/3 |
Graph Representation Learning |
Graph Representation Learning Tutorial 2 (Chuxu Zhang)
|
|
9/8 |
Graph Representation Learning |
Graph Representation Learning Tutorial 3 (Chuxu Zhang)
|
|
9/15 |
Graph Representation Learning |
Paper - LINE: Large-Scale Information Network Embedding (Arjun Albert)
Heterogeneous Graph Representation Learning (Chuxu Zhang) |
|
9/17 |
Graph Representation Learning |
Paper - Cane: Context-Aware Network Embedding for Relation Modeling (Zhuoran Huang)
Paper - Revisiting Semi-Supervised Learning with Graph Embeddings (Wei Lu) |
|
9/22 |
Graph Representation Learning |
Paper - GNNExplainer: Generating Explanations for Graph Neural Networks (Yifei Wang)
Paper - Pte: Predictive Text Embedding Through Large-Scale Heterogeneous Text Networks (Jingxuan Tu) |
|
9/24 |
Graph Representation Learning |
Paper - Neural Relational Inference for Interacting Systems (Zhengyang Zhou)
Paper - Strategies for Pre-training Graph Neural Networks (Peizhao Li) |
|
9/29 |
Graph Representation Learning |
Paper - Neural Message Passing for Quantum Chemistry (Zizhang Chen)
| Grading 1 Release |
10/1 |
Recommendation with Graph |
Recommendation with Graph Tutorial 1 (Chuxu Zhang)
| |
10/6 |
Recommendation with Graph |
Recommendation with Graph Tutorial 2 (Chuxu Zhang)
| |
10/8 |
Recommendation with Graph |
Recommendation with Graph Tutorial 3 (Chuxu Zhang)
| |
10/13 |
Recommendation with Graph |
Recommendation with Graph Tutorial 4 (Chuxu Zhang)
| |
10/15 |
Course Project |
Course Project Midterm Presentation (Students)
| |
10/20 |
Recommendation with Graph |
Task-Guided Relation Learning on Heterogeneous Networks (Chuxu Zhang)
| |
10/22 |
Recommendation with Graph |
Paper - Heterogeneous Information Network Embedding for Recommendation (Peizhao Li)
Paper - Collaborative Knowledge Base Embedding for Recommender Systems (Zizhang Chen)
| |
10/27 |
Recommendation with Graph |
Paper - Reinforcement Knowledge Graph Reasoning for Explainable Recommendation (Wei Lu)
Paper - Explainable Reasoning over Knowledge Graphs for Recommendation (Zhuoran Huang)
| |
10/29 |
Recommendation with Graph |
Paper - Personalized Entity Recommendation: A Heterogeneous Information Network Approach (Yifei Wang)
Paper - Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation (Zhengyang Zhou)
| |
11/03 |
Recommendation with Graph |
Paper - RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems (Jingxuan Tu)
Paper - Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams (Arjun Albert)
| Grading 2 Release |
11/5 |
Knowledge Graph |
Knowledge Graph Tutorial 1 (Chuxu Zhang)
| |
11/10 |
Knowledge Graph |
Knowledge Graph Tutorial 2 (Chuxu Zhang)
| |
11/12 |
Knowledge Graph |
Knowledge Graph Tutorial 3 (Chuxu Zhang)
| |
11/17 |
Knowledge Graph |
Paper - KBGAN: Adversarial Learning for Knowledge Graph Embeddings (Jingxuan Tu)
| |
11/19 |
Knowledge Graph |
Paper - Embedding Logical Queries on Knowledge Graphs (Zizhang Chen)
Paper - Text Generation from Knowledge Graphs with Graph Transformers (Yifei Wang)
| |
11/24 |
Knowledge Graph |
Paper - Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graph (Wei Lu)
Paper - Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs (Peizhao Li)
| |
12/1 |
Knowledge Graph |
Paper - Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graph (Zhengyang Zhou)
Paper - An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing (Zhuoran Huang)
Paper - Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines (Arjun Albert)
| Grading 3 Release |
12/3 |
Course Project |
Course Project Final Presentation (Students)
| Final Report Due: 12/15 |