Hongyu Ren
20 papers · 2018–2024 · 8 conferences · across top CS/AI conferences
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NIPS (12)
ICML (2)
EMNLP (1)
ICCV (1)
ICLR (1)
IJCAI (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
knowledge graph
(9)
graph neural network
(6)
large language model
(2)
link prediction
(2)
multi-agent system
(2)
inductive reasoning
(2)
question answering
(2)
query answering
(2)
semi-supervised learning
(1)
imitation learning
(1)
benchmark evaluation
(1)
variational inference
(1)
game theory
(1)
structured prediction
(1)
representation learning
(1)
self-attention mechanism
(1)
visual question answering
(1)
image generation
(1)
logical reasoning
(1)
probabilistic inference
(1)
Papers
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration
EMNLP 2024
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering
ICCV 2023
High dimensional, tabular deep learning with an auxiliary knowledge graph
NIPS 2023
PRODIGY: Enabling In-context Learning Over Graphs
NIPS 2023
Inductive Logical Query Answering in Knowledge Graphs
NIPS 2022
Deep Bidirectional Language-Knowledge Graph Pretraining
NIPS 2022
GreaseLM: Graph REASoning Enhanced Language Models
ICLR 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining
NIPS 2022
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
ICML 2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
NIPS 2021
Combiner: Full Attention Transformer with Sparse Computation Cost
NIPS 2021
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
NAACL 2021
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
UAI 2020
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
NIPS 2020
Graph Information Bottleneck
NIPS 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
NIPS 2020
Adaptive Antithetic Sampling for Variance Reduction
ICML 2019
Adversarial Constraint Learning for Structured Prediction
IJCAI 2018
Bias and Generalization in Deep Generative Models: An Empirical Study
NIPS 2018
Multi-Agent Generative Adversarial Imitation Learning
NIPS 2018