Ralph Abboud
6 papers · 2020–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Architectures
(3)
Knowledge & Reasoning
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Representation
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
representation learning
(3)
graph neural network
(2)
graph isomorphism
(2)
box embedding
(2)
knowledge base completion
(1)
knowledge graph
(1)
knowledge graph embedding
(1)
entity embedding
(1)
latent space
(1)
temporal knowledge graph
(1)
relation embedding
(1)
node representation
(1)
knowledge graph completion
(1)
weighted model counting
(1)
dnf formula
(1)
model counting
(1)
automatic evaluation
(1)
logical rule
(1)
planar graph
(1)
large language model
(1)
Papers
BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology
EMNLP 2023
PlanE: Representation Learning over Planar Graphs
NeurIPS 2023
Temporal Knowledge Graph Completion Using Box Embeddings
AAAI 2022
The Surprising Power of Graph Neural Networks with Random Node Initialization
IJCAI 2021
BoxE: A Box Embedding Model for Knowledge Base Completion
NeurIPS 2020
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
AAAI 2020