A new interference modeling approach with partial attentions and message amplification captures varying neighbor importance and scale to improve ITE estimation on graphs.
K-Reach: Who is in Your Small World
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We study the problem of answering k-hop reachability queries in a directed graph, i.e., whether there exists a directed path of length k, from a source query vertex to a target query vertex in the input graph. The problem of k-hop reachability is a general problem of the classic reachability (where k=infinity). Existing indexes for processing classic reachability queries, as well as for processing shortest path queries, are not applicable or not efficient for processing k-hop reachability queries. We propose an index for processing k-hop reachability queries, which is simple in design and efficient to construct. Our experimental results on a wide range of real datasets show that our index is more efficient than the state-of-the-art indexes even for processing classic reachability queries, for which these indexes are primarily designed. We also show that our index is efficient in answering k-hop reachability queries.
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
A new interference modeling approach with partial attentions and message amplification captures varying neighbor importance and scale to improve ITE estimation on graphs.