131 results on '"William A. Hamilton"'
Search Results
2. Bombardier Aftermarket Demand Forecast with Machine Learning.
3. Combining simulation and optimization to derive operating policies for a concentrating solar power plant.
4. Vernal: a tool for mining fuzzy network motifs in RNA.
5. Rethinking Graph Transformers with Spectral Attention.
6. End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering.
7. Do Syntax Trees Help Pre-trained Transformers Extract Information?
8. Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs.
9. End-to-End Training of Neural Retrievers for Open-Domain Question Answering.
10. Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks.
11. Directional Graph Networks.
12. Online Adversarial Attacks.
13. NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.
14. TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion.
15. Structure Aware Negative Sampling in Knowledge Graphs.
16. Distilling Structured Knowledge for Text-Based Relational Reasoning.
17. Learning an Unreferenced Metric for Online Dialogue Evaluation.
18. Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT.
19. Inductive Relation Prediction by Subgraph Reasoning.
20. Latent Variable Modelling with Hyperbolic Normalizing Flows.
21. A review of biomedical datasets relating to drug discovery: a knowledge graph perspective.
22. A Universal Representation Transformer Layer for Few-Shot Image Classification.
23. Neural representation and generation for RNA secondary structures.
24. Structural Inductive Biases in Emergent Communication.
25. CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text.
26. Efficient Graph Generation with Graph Recurrent Attention Networks.
27. Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia.
28. Compositional Fairness Constraints for Graph Embeddings.
29. Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks.
30. Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions.
31. RNAglib: a python package for RNA 2.5 D graphs.
32. Mapping in the Wild: Toward Designing to Train Search & Rescue Planning.
33. Collaborative Mixed Reality Games.
34. Embedding Logical Queries on Knowledge Graphs.
35. Hierarchical Graph Representation Learning with Differentiable Pooling.
36. Community Interaction and Conflict on the Web.
37. Graph Convolutional Neural Networks for Web-Scale Recommender Systems.
38. LiveDissent: A Media Platform for Remote Participation in Activist Demonstrations.
39. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.
40. Learning Dynamic Belief Graphs to Generalize on Text-Based Games.
41. Adversarial Example Games.
42. Graph Representation Learning
43. NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.
44. End-to-End Training of Neural Retrievers for Open-Domain Question Answering.
45. Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs.
46. Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks.
47. Rethinking Graph Transformers with Spectral Attention.
48. Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application.
49. End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering.
50. Neural representation and generation for RNA secondary structures.
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