Knowledge & Reasoning

Hacking Task Confounder in Meta-Learning IJCAI 2024 HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces AAAI 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation CVPR 2024 HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models NeurIPS 2024 History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting IJCAI 2024 HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs ACL 2024 Homomorphism Counts for Graph Neural Networks: All About That Basis ICML 2024 How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding COLING 2024 HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs NAACL 2024 HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task SemEval 2024 HW-TSC at TextGraphs-17 Shared Task: Enhancing Inference Capabilities of LLMs with Knowledge Graphs ACL 2024 Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models NeurIPS 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NeurIPS 2024 Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024 Identifiability of total effects from abstractions of time series causal graphs UAI 2024 Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach ICML 2024 Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable UAI 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments NeurIPS 2024 Identification for Tree-Shaped Structural Causal Models in Polynomial Time AAAI 2024 Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model AAAI 2024 Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024 Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching AAAI 2024 Identifying Causal Changes Between Linear Structural Equation Models UAI 2024 Identifying Causal Effects Under Functional Dependencies NeurIPS 2024